Top Microsoft MCP Gateway Alternatives

The ContextForge MCP Gateway is an open-source solution acting as a Model Context Protocol (MCP) gateway, registry, and proxy, providing a unified endpoint for AI clients to access tools, resources, prompts, as well as REST or MCP services within complex AI environments. This system operates in conjunction with various MCP servers and REST APIs, streamlining processes related to discovery, authentication, rate-limiting, observability, and traffic management across numerous backend systems, and supports multiple transport mechanisms such as HTTP, JSON-RPC, WebSocket, SSE, stdio, and streamable HTTP; it also possesses the ability to convert legacy APIs into MCP-compliant tools. Moreover, it includes an optional Admin UI that allows users to configure settings, monitor activities, and access logs in real-time, while being designed to scale from single-instance setups to large multi-cluster Kubernetes environments, utilizing Redis for federation and caching to boost both performance and resilience. This architecture makes the ContextForge MCP Gateway not only a facilitator of seamless interactions within intricate AI architectures but also a highly adaptable platform that can meet the diverse demands of various operational contexts. Ultimately, the platform enhances the overall efficiency and effectiveness of AI integrations, ensuring that users can maximize their technological investments.

agentgateway is a comprehensive AI gateway platform that unifies security, connectivity, and observability for enterprise AI ecosystems. It provides a single control point for managing LLM consumption, AI inference, and agentic workflows. Built for emerging standards like MCP and agent-to-agent communication, agentgateway supports use cases beyond the reach of traditional API gateways. The platform secures LLM access by protecting provider keys, preventing prompt abuse, and controlling costs. It offers an inference gateway that optimizes model serving, prioritizes critical workloads, and improves performance. agentgateway also delivers a dedicated agent gateway to manage tool servers, registries, and permissions at scale. Organizations gain full visibility into every agent and tool interaction. OpenTelemetry integration enables deep observability and evaluation of AI behavior. Hosted by the Linux Foundation, agentgateway is committed to open, interoperable AI infrastructure. It is trusted by leading enterprises across industries. The platform enables responsible AI adoption with strong governance and control. agentgateway future-proofs enterprise infrastructure for the next generation of AI systems.

Obot serves as an open-source AI infrastructure platform and Model Context Protocol (MCP) gateway, allowing organizations to have a centralized system for discovering, onboarding, managing, securing, and scaling MCP servers that connect large language models and AI agents with various enterprise systems, tools, and data sources. Its features include an MCP gateway, a catalog, an administrative console, and a chat interface that integrates seamlessly with identity providers like Okta, Google, and GitHub, facilitating the implementation of access control, authentication, and governance policies across MCP endpoints to ensure secure and compliant AI interactions. Furthermore, Obot enables IT teams to host both local and remote MCP servers, manage access through a secure gateway, set detailed user permissions, effectively log and audit usage, and generate connection URLs for LLM clients such as Claude Desktop, Cursor, VS Code, or custom agents, thereby enhancing both operational flexibility and security. Additionally, this platform simplifies the integration of AI services, empowering organizations to utilize cutting-edge technologies while upholding strong governance and compliance standards. By streamlining these processes, Obot fosters an environment where innovation can thrive without compromising security or regulatory requirements.

Lunar.dev functions as an all-encompassing platform for AI gateway and API consumption management, specifically crafted to empower engineering teams with a unified interface for monitoring, regulating, securing, and optimizing all interactions with outbound APIs and AI agents. This encompasses the ability to track communications with large language models, employ Model Context Protocol tools, and connect with external services across a variety of distributed applications and workflows. The platform provides immediate visibility into usage trends, latency problems, errors, and associated costs, enabling teams to oversee every interaction involving models, APIs, and agents in real-time. Moreover, it facilitates the implementation of policies such as role-based access control, rate limiting, quotas, and cost management strategies to maintain security and compliance, while preventing excessive use or unexpected charges. By centralizing the oversight of outbound API traffic through features like identity-aware routing, traffic inspection, data redaction, and governance, Lunar.dev significantly enhances operational efficiency for its users. Its MCPX gateway further simplifies the administration of numerous Model Context Protocol servers by integrating them into a single secure endpoint, thereby providing comprehensive observability and permission management for AI tools. In addition, this platform not only alleviates the challenges associated with API management but also substantially increases the capacity of teams to effectively leverage AI technologies, ultimately driving innovation and productivity within organizations.

kgateway is a next-generation Kubernetes gateway platform built to support both microservices and AI agent ecosystems. It provides a unified control plane for API gateways, AI gateways, inference routing, and agent-to-agent communication. Built on Envoy and open standards, kgateway fully implements the Kubernetes Gateway API. The platform allows teams to aggregate APIs and enforce authentication, authorization, and rate limiting centrally. Kgateway secures LLM usage by protecting models, tools, agents, and sensitive data. It includes an inference gateway to intelligently route requests to generative AI workloads running in Kubernetes. Kgateway supports native MCP and agent-to-agent communication for scalable AI systems. The platform scales from small service-to-service gateways to enterprise-grade deployments handling billions of API calls. It enables advanced traffic management, resilience testing, and security controls. Originally launched as Gloo, kgateway has evolved into one of the most trusted gateways in the Kubernetes ecosystem. It supports hybrid, multi-cloud, and on-prem environments seamlessly. Kgateway empowers teams to build secure, resilient, and AI-ready infrastructure.

Peta acts as a sophisticated control plane for the Model Context Protocol (MCP), facilitating, securing, regulating, and supervising the interactions between AI clients and agents with external resources, data, and APIs. The platform incorporates a zero-trust MCP gateway, a secure vault, a managed runtime environment, a policy engine, human-in-the-loop approvals, and extensive audit logging into a unified solution, allowing organizations to enforce detailed access controls, protect sensitive credentials, and track all interactions performed by AI systems. Central to Peta is Peta Core, which serves as both a secure vault and gateway, responsible for encrypting credentials, generating ephemeral service tokens, ensuring identity verification and policy compliance for each request, managing the lifecycle of the MCP server through lazy loading and auto-recovery, and injecting credentials at runtime without exposing them to agents. Furthermore, the Peta Console enables teams to determine which users or agents can access specific MCP tools within defined environments, set up approval processes, manage tokens, and analyze usage data along with associated costs. This comprehensive strategy not only bolsters security but also promotes effective resource management and accountability across AI operations, ultimately leading to improved operational efficiency and enhanced oversight. By integrating these functionalities, Peta establishes a robust foundation for organizations seeking to optimize their AI-driven initiatives.

The NGINX Service Mesh, available at no cost, seamlessly evolves from open-source initiatives into a powerful, secure, and scalable enterprise-level solution. This service mesh enables effective management of Kubernetes environments, utilizing a unified data plane for both ingress and egress through a single configuration interface. Notably, the NGINX Service Mesh features an integrated, high-performance data plane that capitalizes on the strengths of NGINX Plus, making it adept at managing highly available and scalable containerized systems. This data plane excels in delivering exceptional traffic management, performance, and scalability, significantly surpassing other sidecar solutions available in the industry. It comes equipped with critical functionalities like load balancing, reverse proxying, traffic routing, identity management, and encryption, all vital for the implementation of production-ready service meshes. Furthermore, when paired with the NGINX Plus-based version of the NGINX Ingress Controller, it establishes a cohesive data plane that streamlines management through a single configuration, thereby improving both efficiency and control. Ultimately, this synergy enables organizations to realize enhanced performance and reliability in their service mesh deployments while ensuring future adaptability. The comprehensive features and seamless integration make it an attractive choice for businesses looking to optimize their cloud-native applications.

Solo Enterprise delivers an all-encompassing cloud-native solution for application networking and connectivity that allows organizations to securely link, expand, oversee, and track APIs, microservices, and sophisticated AI workloads across distributed infrastructures, especially within Kubernetes and multi-cluster settings. The core capabilities of the platform utilize open-source technologies like Envoy and Istio, featuring Gloo Gateway, which enhances omnidirectional API management by adeptly managing the flow of external, internal, and third-party traffic while maintaining security, authentication, traffic routing, observability, and analytics. Furthermore, Gloo Mesh offers a unified control mechanism for service mesh across multiple clusters, simplifying the connectivity and security of services among various clusters. In addition, the Agentgateway and Gloo AI Gateway provide a secure and regulated traffic pathway for LLM and AI agents, integrating vital guardrails and functionalities to bolster security and performance. This comprehensive strategy empowers enterprises to thrive in a fast-changing technological environment while optimizing their operations efficiently. Ultimately, such robust solutions position businesses to meet the demands of evolving workloads and connectivity needs effectively.

The Docker MCP Gateway serves as a crucial open source component within the Docker MCP Catalog and Toolkit, specifically crafted to operate Model Context Protocol (MCP) servers inside isolated Docker containers that maintain limited privileges, restricted network access, and specific resource constraints, thus ensuring secure and reliable environments for AI applications. This component manages the entire lifecycle of MCP servers by initiating containers whenever an AI application demands a particular tool, injecting required credentials, implementing security protocols, and routing requests so that servers can efficiently handle them and provide results through a single, integrated gateway interface. By consolidating all operational MCP containers behind a single access point, the Gateway simplifies the process for AI clients to find and utilize various MCP services, reducing redundancy, enhancing performance, and centralizing configuration and authentication aspects. Ultimately, it simplifies the interactions between AI applications and a variety of services, promoting a more streamlined development process while significantly improving overall system security. Additionally, this integrated approach allows developers to focus on innovation rather than managing complex service interactions, further enhancing productivity and effectiveness in AI deployment.

Kuma is an open-source control plane specifically designed for service mesh, offering key functionalities such as security, observability, and routing capabilities. Built on the Envoy proxy, it acts as a modern control plane for microservices and service mesh, supporting both Kubernetes and virtual machine environments, which allows for the management of multiple meshes within a single cluster. Its architecture comes equipped with built-in support for L4 and L7 policies that promote zero trust security, enhance traffic reliability, and simplify observability and routing. The installation of Kuma is remarkably easy, typically requiring just three straightforward steps. With the integration of the Envoy proxy, Kuma provides user-friendly policies that significantly improve service connectivity, ensuring secure and observable interactions among applications, services, and databases. This powerful solution enables the establishment of contemporary service and application connectivity across various platforms and cloud environments. Furthermore, Kuma adeptly supports modern Kubernetes configurations alongside virtual machine workloads within the same cluster, offering strong multi-cloud and multi-cluster connectivity to cater to the comprehensive needs of organizations. By implementing Kuma, teams can not only simplify their service management processes but also enhance their overall operational effectiveness, leading to better agility and responsiveness in their development cycles. The benefits of adopting Kuma extend beyond mere connectivity, fostering innovation and collaboration across different teams and projects.

DeployStack serves as a robust management platform designed for the enterprise context of the Model Context Protocol (MCP), with the goal of centralizing, securing, and improving the governance of MCP servers and AI tools across organizations. It boasts an all-in-one dashboard that facilitates the oversight of all MCP servers and integrates a centralized credential vault to eliminate the hassle of managing numerous API keys and configuration files. Furthermore, it employs role-based access control, OAuth2 authentication, and high-grade encryption to ensure that enterprise operations remain secure. The platform also delivers in-depth usage analytics and observability, providing real-time insights into MCP tool utilization, such as user access trends and frequency, while maintaining extensive audit logs for compliance and financial transparency. Moreover, DeployStack enhances token and context window management, allowing Large Language Model (LLM) clients to significantly reduce token usage through a hierarchical routing system that efficiently accesses multiple MCP servers, thereby preserving model performance without compromise. This forward-thinking solution not only streamlines operational processes but also equips organizations with the tools needed to effectively manage their AI resources, all while upholding stringent security and compliance standards. As a result, DeployStack positions itself as an indispensable asset for enterprises navigating the complexities of AI governance.

Effortlessly manage and connect applications across different clusters, cloud platforms, and data centers. Utilize a unified management solution to enable application connectivity within varied infrastructures. Effectively integrate traditional workloads into your cloud-native application architecture. Create organizational tenants to enforce precise access controls and editing rights for teams utilizing shared infrastructure. Maintain an exhaustive change history for services and resources from the outset. Ensure efficient traffic management across potential failure domains, keeping your customers oblivious to any disruptions. TSB works at the application edge, operating at cluster ingress and among workloads in both Kubernetes and conventional computing settings. Edge and ingress gateways skillfully route and balance application traffic across numerous clusters and cloud environments, while a mesh framework governs service connectivity. A centralized management dashboard provides oversight for connectivity, security, and visibility across your entire application network, guaranteeing thorough control and monitoring. This comprehensive system not only streamlines operational workflows but also significantly boosts overall application performance and reliability. Additionally, it empowers teams to respond swiftly to changes, ensuring a resilient and adaptable infrastructure.

Prefect Horizon functions as a comprehensive managed AI infrastructure platform within the broader Prefect product suite, empowering teams to deploy, govern, and oversee Model Context Protocol (MCP) servers and AI agents at an enterprise scale, equipped with crucial production-ready features such as managed hosting, authentication, access control, observability, and governance tools. Utilizing the innovative FastMCP framework, it elevates MCP from a simple protocol to a robust platform composed of four interconnected core components: Deploy, which streamlines the quick hosting and scaling of MCP servers through continuous integration, continuous deployment (CI/CD), and monitoring; Registry, serving as a centralized hub for first-party, third-party, and curated MCP endpoints; Gateway, delivering role-based access control, authentication, and audit trails to ensure secure and regulated access to various tools; and Agents, which provide intuitive interfaces deployable in Horizon, Slack, or accessible via MCP, thereby enabling business users to interact with context-aware AI without needing in-depth technical knowledge of MCP. This comprehensive strategy not only allows organizations to fully leverage AI functionalities but also reinforces their governance and security measures, thus promoting a responsible use of advanced technologies. By integrating these elements, Prefect Horizon presents a solution that meets the intricate demands of modern enterprises in an increasingly data-driven world.

MintMCP acts as a comprehensive Model Context Protocol (MCP) gateway and governance solution tailored for enterprises, presenting a unified strategy for security, observability, authentication, and compliance related to AI tools and agents that interact with internal information, systems, and services. This innovative platform enables organizations to deploy, supervise, and manage their MCP infrastructure on a vast scale, delivering real-time insights into every interaction with MCP tools while incorporating role-based access control and enterprise-level authentication, all while ensuring thorough audit trails that comply with regulatory requirements. Serving as a proxy gateway, MintMCP efficiently consolidates connections from multiple AI assistants, such as ChatGPT, Claude, and Cursor, thereby simplifying monitoring tasks, reducing risky behaviors, securely managing credentials, and enforcing specific policy measures without the need for separate security setups for each individual tool. By centralizing these essential functions, MintMCP not only boosts operational efficiency but also strengthens the security framework of organizations utilizing AI technologies. This integrated approach ultimately allows businesses to focus on their core objectives, knowing their AI interactions are managed securely and effectively.

Storm MCP acts as a sophisticated gateway focused on the Model Context Protocol (MCP), enabling effortless connections between AI applications and a variety of verified MCP servers with a simple one-click deployment option. It guarantees strong enterprise-grade security, improved observability, and straightforward tool integration without requiring extensive custom coding efforts. By standardizing connections for AI and selectively exposing specific tools from each MCP server, it aids in reducing token consumption while optimizing model tool selection. Users benefit from its Lightning deployment feature, granting access to over 30 secure MCP servers, while Storm efficiently handles OAuth-based access, detailed usage logs, rate limits, and monitoring. This cutting-edge solution is designed to securely link AI agents with external context sources, allowing developers to avoid the complexities involved in creating and maintaining their own MCP servers. Aimed at AI agent developers, workflow creators, and independent innovators, Storm MCP is distinguished as a versatile and customizable API gateway, alleviating infrastructure challenges while providing reliable context for a wide array of applications. Its distinctive features make it a vital resource for enhancing the AI integration experience, ultimately paving the way for more innovative and efficient solutions in the realm of artificial intelligence.

TrueFoundry is an Enterprise Platform as a service that enables companies to build, ship and govern Agentic AI applications securely, at scale and with reliability through its AI Gateway and Agentic Deployment platform. Its AI Gateway encompasses a combination of - LLM Gateway, MCP Gateway and Agent Gateway - enabling enterprises to manage, observe, and govern access to all components of a Gen AI Application from a single control plane while ensuring proper FinOps controls. Its Agentic Deployment platform enables organizations to deploy models on GPUs using best practices, run and scale AI agents, and host MCP servers - all within the same Kubernetes-native platform. It supports on-premise, multi-cloud or Hybrid installation for both the AI Gateway and deployment environments, offers data residency and ensures enterprise-grade compliance with SOC 2, HIPAA, EU AI Act and ITAR standards. Leading Fortune 1000 companies like Resmed, Siemens Healthineers, Automation Anywhere, Zscaler, Nvidia and others trust TrueFoundry to accelerate innovation and deliver AI at scale, with 10Bn + requests per month processed via its AI Gateway and more than 1000+ clusters managed by its Agentic deployment platform. TrueFoundry’s vision is to become the Central control plane for running Agentic AI at scale within enterprises and empowering it with intelligence so that the multi-agent systems become a self-sustaining ecosystem driving unparalleled speed and innovation for businesses. To learn more about TrueFoundry, visit truefoundry.com.

Webrix MCP Gateway acts as a holistic platform for businesses looking to securely incorporate AI solutions, facilitating smooth connections between multiple AI agents (including Claude, ChatGPT, Cursor, and n8n) and internal enterprise systems on a grand scale. By leveraging the Model Context Protocol standard, Webrix offers a consolidated secure gateway that addresses a significant barrier to AI implementation: the security concerns tied to tool access. Notable features encompass: - Centralized Single Sign-On (SSO) and Role-Based Access Control (RBAC) – This feature enables employees to log into authorized tools instantly, eliminating the need for IT ticket submissions. - Universal agent compatibility – The system accommodates any AI agent that adheres to the MCP standard. - Strong enterprise security – Includes comprehensive audit logs, effective credential management, and rigorous policy enforcement. - Self-service capability – Employees can conveniently access internal resources (such as Jira, GitHub, databases, and APIs) through their preferred AI agents without the need for manual configurations. By tackling the crucial issue of AI integration, Webrix equips your team with essential AI functionalities while ensuring stringent security, oversight, and compliance. Furthermore, whether you opt for an on-premise setup, a deployment within your cloud infrastructure, or our managed services, Webrix is designed to adapt seamlessly to the specific requirements of your organization, fostering innovation and efficiency.

Headscale functions as an open-source, self-hosted control server for the Tailscale network, enabling users to fully control their private tailnets while utilizing Tailscale clients. It provides features like user and node registration, the creation of pre-authentication keys, subnet route advertising, exit node establishment, access control enforcement, and integration with identity providers such as OIDC/SAML for user verification. The software can be installed using Debian or Ubuntu packages, or through standalone binaries, and is fully configurable via a YAML file, with management facilitated through its command-line interface or REST API. Headscale also keeps an extensive database that monitors all nodes, routes, and users, supports approval workflows for routes, and includes functionalities like subnet routing, exit node designation, and direct connections between nodes within the tailnet. By being self-hosted, it allows organizations and enthusiasts to maintain full ownership of their network endpoints, encryption keys, and traffic flows, thus removing the need for a commercial control plane. This degree of control significantly improves security while also offering users the flexibility to tailor their networking solutions to better fit their unique requirements, which can lead to increased performance and efficiency within their network operations. Ultimately, Headscale represents a powerful tool for those looking to enhance their networking capabilities while prioritizing privacy and control.

The Ribbon PSX Software Edition (PSX SWe) is a comprehensive and virtualized solution designed specifically for service providers to optimize and oversee VoIP services across diverse network environments. It integrates sophisticated session management capabilities for session border controllers (SBCs), media gateways, and call controllers, supporting an extensive array of protocols, such as SIP, ENUM, H.323, TDM, SS7/C7, IN/AIN, and IMS. By utilizing a distributed architecture, it allows service providers to deploy localized instances that enhance both performance and reliability, while maintaining centralized oversight of policies, routing, and administration, thereby simplifying synchronization challenges across various sites. Key functionalities include Least Cost Routing (LCR), Quality of Service (QoS) routing, toll-free number routing, and number translation services, all contributing to improved operational productivity. Additionally, the PSX SWe functions as an IMS Breakout Gateway Control Function (BGCF) and features call validation treatments for STIR/SHAKEN alongside Reputation Scoring services, which collectively mitigate the threat of call spoofing. This comprehensive strategy not only safeguards the integrity of VoIP services but also fosters greater trust and satisfaction among providers and their customers, ultimately enhancing the overall user experience in telecommunications.

Azure Route Server enables the automatic sharing of routing information between network devices and Azure virtual networks. By integrating your network devices with Azure ExpressRoute and VPN gateways, you can effortlessly obtain updated routing information from Azure Route Server, which removes the necessity for direct communication with each separate network. This capability supports dynamic routing between your network devices and Azure gateways, allowing organizations to move beyond the constraints of static routing. With the provision of Border Gateway Protocol (BGP) endpoints, Azure Route Server utilizes a widely accepted routing protocol to facilitate effective route exchanges. Its seamless compatibility with both established and new setups accommodates diverse network configurations, including hub and spoke, full mesh, or flat virtual networks. This adaptability not only aids in optimizing network architecture but also ensures that organizations can implement efficient routing strategies tailored to their specific needs. Consequently, Azure Route Server becomes a vital tool for enhancing network performance and reliability.

Linkerd significantly improves the security, observability, and reliability of your Kubernetes setup without requiring any changes to the existing codebase. It is licensed under Apache and has a vibrant, growing, and friendly community surrounding it. Developed with Rust, the data plane proxies of Linkerd are incredibly lightweight, weighing in at under 10 MB, and they deliver impressive performance with sub-millisecond latency for 99th percentile requests. There’s no need for complicated APIs or intricate configurations to grapple with. In many cases, Linkerd runs effortlessly right after installation. The control plane can be deployed within a single namespace, facilitating a gradual and secure service integration into the mesh. Furthermore, it offers a comprehensive suite of diagnostic tools, such as automatic mapping of service dependencies and real-time traffic monitoring. Its exceptional observability capabilities enable you to monitor vital metrics, including success rates, request volumes, and latency, ensuring every service in your stack performs at its best. This allows development teams to concentrate on building their applications while reaping the benefits of improved operational visibility and insights. As a result, Linkerd stands out as a valuable addition to any cloud-native architecture.

MCPTotal stands out as a comprehensive, enterprise-grade solution designed to streamline the management, hosting, and governance of MCP (Model Context Protocol) servers and AI-tool integrations within a secure and audit-compliant environment, eliminating the risks associated with running these systems on developers' personal machines. Central to this platform is the “Hub,” which provides a controlled, sandboxed runtime environment where MCP servers are securely containerized, reinforced, and meticulously examined for vulnerabilities. Complementing this, the integrated “MCP Gateway” acts as an AI-centric firewall that conducts real-time analysis of MCP traffic, implements security protocols, monitors all interactions and data flows, and addresses common threats such as data breaches, prompt-injection attacks, and unauthorized credential usage. To further bolster security, all API keys, environment variables, and credentials are stored in an encrypted vault, effectively curbing credential sprawl and minimizing the risks linked with storing sensitive data in plaintext on individual devices. In addition, MCPTotal equips organizations with powerful discovery and governance tools, enabling security teams to scan both desktop and cloud environments to pinpoint the active usage of MCP servers, thereby ensuring thorough oversight and control. With its extensive features, this platform not only enhances security but also significantly improves the efficiency of managing AI resources across enterprises, ultimately fostering a more secure operational landscape for organizations.

Proxifier allows network applications that generally do not support proxy servers to operate efficiently through a SOCKS or HTTPS proxy, offering advanced chaining capabilities. It redirects connections from any internet-enabled application, including browsers, email clients, databases, and gaming platforms, through a proxy server. Moreover, it facilitates resource access management, ensuring that all connections are channeled through a single entry point, which streamlines remote updates across various configurations. The software enhances internet traffic routing by utilizing faster pathways, acting as a lightweight and flexible substitute for conventional VPNs, while also safeguarding your connections with encrypted tunnels. By using a proxy as a gateway for online activities, Proxifier allows users to assign distinct proxies or chains to individual connections through its rule-based system. Regularly updated to accommodate the latest operating systems, such as Windows 11 and macOS Ventura, Proxifier is a native C++ application that operates without third-party dependencies, featuring a small installer size of only 4 MB, thus ensuring both efficiency and ease of deployment. The combination of reliability, versatility, and user-friendly features positions Proxifier as a vital tool for anyone aiming to improve their network connectivity options. Overall, it empowers users by providing a seamless way to manage their internet traffic while maintaining security and flexibility.

Gate22 functions as a comprehensive platform for AI governance and Model Context Protocol (MCP) control that is tailored for enterprises, providing centralized management of the security and oversight of AI tools and agents interacting with MCP servers. It enables administrators to onboard, configure, and manage both internal and external MCP servers, offering granular permissions at the functional level, team-oriented access controls, and role-specific policies to guarantee that only approved tools and capabilities are accessible to the appropriate teams or individuals. By delivering a unified MCP endpoint, Gate22 consolidates multiple MCP servers into an easily navigable interface with just two main functions, which helps to lessen token consumption for developers and AI clients while effectively reducing context overload and maintaining both accuracy and security. The platform features an administrative interface with a governance dashboard that tracks usage patterns, ensures compliance, and applies least-privilege access, while the member interface streamlines and secures access to authorized MCP bundles. This dual perspective not only enhances operational productivity but also fortifies the overall security infrastructure within the organization. Additionally, the integration of these functionalities fosters a collaborative environment where teams can work more effectively while adhering to compliance standards.

MCP-Use is an open-source platform aimed at developers, offering a comprehensive suite of SDKs, cloud infrastructure, and a user-friendly control interface to aid in the development, management, and deployment of AI agents based on the Model Context Protocol (MCP). This platform supports connections to multiple MCP servers, each providing unique tool capabilities such as web browsing, file management, and specialized third-party integrations, all conveniently accessed through a singular MCPClient. Developers can create tailored agents (via MCPAgent) capable of intelligently selecting the most appropriate server for individual tasks by utilizing configurable pipelines or a built-in server management system. It simplifies essential processes including authentication, access control management, audit logging, observability, and the establishment of sandboxed runtime environments, ensuring that both self-hosted and managed MCP applications are ready for production. Additionally, MCP-Use enhances the developer experience by seamlessly integrating with popular frameworks like LangChain (Python) and LangChain.js (TypeScript), which accelerates the creation of AI agents equipped with a variety of tools. Furthermore, its intuitive architecture not only fosters creativity but also encourages developers to explore and innovate with new AI capabilities more effectively, ultimately driving the advancement of AI technology.

Simplified traffic oversight for your service mesh. A service mesh represents a powerful architecture that has become increasingly popular for managing microservices and modern applications. In this architecture, the data plane, which includes service proxies like Envoy, manages traffic flow, while the control plane governs policies, configurations, and the intelligence behind these proxies. Google Cloud Platform's Traffic Director serves as a fully managed system for traffic oversight within the service mesh. By leveraging Traffic Director, you can efficiently deploy global load balancing across multiple clusters and virtual machine instances situated in various regions, reduce the burden of health checks on service proxies, and establish sophisticated traffic control policies. Importantly, Traffic Director utilizes open xDSv2 APIs to communicate with the service proxies in the data plane, giving users the advantage of not being restricted to a single proprietary interface. This adaptability fosters smoother integration and enhances flexibility in different operational contexts, making it a versatile choice for developers.

The JRR200 Route Reflector Appliance stands out as an exceptional option for service providers, data centers, and enterprise networks that handle large routing tables. Its compact design and 10-GbE connectivity make it perfect for settings where both space and power are at a premium. By utilizing this appliance, organizations can enhance their network efficiency and reduce operational costs across a range of uses, including cloud services and distributed metro or data center networks. Equipped with the Junos OS control plane, the JRR200 provides strong BGP control along with an extensive array of features. Users benefit from not having to choose between customized servers and hypervisor software, nor do they face the complications of managing separate hardware and software support. Furthermore, the appliance’s Zero Touch Provisioning (ZTP) feature expedites the setup of new deployments, improving overall efficiency. Enjoy the reliability characteristic of carrier-grade solutions across all applications while also making your network architectures and operations significantly easier with local 1GbE wire speed. In addition, the adaptable design of the JRR200 ensures it meets diverse networking requirements, solidifying its role as an indispensable component within any technological framework. Ultimately, its innovative capabilities provide an excellent return on investment by supporting future growth and scalability.

The Perimeta Session Border Controller (SBC) from Alianza is a fully software-driven, cloud-native solution designed to provide secure, scalable, and flexible voice and multimedia communication services. It supports multiple deployment scenarios such as VoLTE, VoNR, SIP trunking, and direct routing for Microsoft Teams, making it suitable for use in fixed-line, wireless, and enterprise interconnect environments. Utilizing a zero-trust security framework, Perimeta delivers outstanding protection for cloud infrastructures. The innovative separation of media and signaling planes allows for precise scaling to meet varying demand levels effectively. Additionally, it features a secure distribution engine (SDE) that aids in efficient load balancing, along with distributed admission management (DAM) to streamline large-scale implementations. This SBC is compatible with a variety of cloud environments, whether public, private, or hybrid, and can be deployed on platforms like AWS, Azure, OpenStack, VMware, and ATCA hardware. This adaptability guarantees that organizations can select the most suitable environment tailored to their unique requirements, thereby improving both operational efficiency and security. By embracing such a versatile solution, businesses can also future-proof their communications infrastructure, ensuring it remains effective and resilient against evolving challenges.

FastMCP is an innovative open-source framework built in Python that streamlines the development of Model Context Protocol (MCP) applications by simplifying the processes of creating, managing, and interacting with MCP servers, thereby allowing developers to focus on their essential business logic without getting bogged down by the intricacies of the protocol. The Model Context Protocol (MCP) provides a standardized approach for securely connecting large language models to various tools, data, and services, and FastMCP enhances this experience with a user-friendly API that minimizes boilerplate code through the use of Python decorators designed for registering tools, resources, and prompts. To establish a standard FastMCP server, one simply creates a FastMCP object, applies decorators to designate Python functions as tools that can be called by the LLM, and then activates the server using various built-in transport methods like stdio or HTTP; this configuration allows AI clients to interact with the code as though it were part of the model’s context. Furthermore, the architecture of FastMCP encourages efficient development practices, enabling teams to rapidly iterate on their projects while upholding superior standards of code quality and performance. This efficiency not only accelerates the development cycle but also enhances collaboration among team members, ensuring that everyone can contribute effectively to the project's advancement.

KProxy functions as an accessible web and browser proxy solution, offered as both a web application and a Chrome/Firefox extension, allowing users to bypass content restrictions and gain entry to blocked or censored sites by masking their actual IP address and simulating standard HTTPS traffic, making it effective even in stringent environments like schools, workplaces, or libraries. With a mere click, users can change their IP location, swiftly switch between servers to evade strict filtering, and route their browser traffic—and sometimes other system-level traffic via its extension—through the proxy without requiring complex setups or registrations. The extension seamlessly integrates into the user's browsing routine, making the proxy's presence nearly undetectable, while the web interface allows for quick access by simply inputting a URL. Additionally, KProxy offers session management capabilities to regulate traffic on its free servers, which may result in occasional waiting periods or disconnections, whereas its premium service alleviates these issues and grants access to a wider range of server locations, further improving the user experience. This blend of functionality and ease of use positions KProxy as an appealing choice for individuals aiming to safeguard their online privacy and access a broader spectrum of content, especially in today's digital landscape where such tools are increasingly valuable. As a result, many users find KProxy to be an indispensable resource for navigating the complexities of internet freedom.