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What is Microsoft MCP Gateway?

The Microsoft MCP Gateway functions as a versatile open-source reverse proxy and management interface specifically designed for Model Context Protocol (MCP) servers, enabling scalable and session-aware routing while also providing lifecycle management and centralized control over MCP services, especially in Kubernetes environments. Serving as a control plane, it effectively channels requests from AI agents (MCP clients) to their respective backend MCP servers, ensuring session affinity and managing a variety of tools and endpoints through a unified gateway that emphasizes authorization and observability. Furthermore, it allows teams to deploy, update, and decommission MCP servers and tools using RESTful APIs, which facilitate the registration of tool definitions and resource management, all reinforced by security protocols such as bearer tokens and role-based access control (RBAC). The architecture distinctly differentiates the management of the control plane—which encompasses CRUD operations on adapters, tools, and metadata—from the routing capabilities of the data plane, which accommodates streamable HTTP connections and dynamic tool routing, thereby delivering sophisticated functionalities like session-aware stateful routing. This thoughtful design not only boosts operational efficiency but also cultivates a more secure and robust environment for overseeing AI services, ultimately paving the way for streamlined management and enhanced performance in complex deployments.

What is Barndoor.ai?

Barndoor acts as a comprehensive management layer for data and access, guaranteeing that artificial intelligence systems operate securely alongside enterprise data and infrastructure. It functions as a centralized control hub, managing AI agents and applications, and enabling organizations to establish policies, enforce access controls automatically, and maintain thorough oversight of AI tool operations within their business structures. In contrast to conventional identity-based permissions, Barndoor utilizes context-aware governance, which empowers administrators to control the actions of an AI agent based on specific factors, such as the user supervising the agent, the system being accessed, the type of data involved, and the specific task at hand. This innovative system evaluates each AI request in real time, implementing policies prior to any actions being executed, thus preventing unsafe or unauthorized activities from impacting internal systems or compromising sensitive information. Moreover, this sophisticated approach to governance not only bolsters security and compliance but also cultivates a more reliable AI ecosystem, ultimately benefiting organizations as they navigate the complexities of modern technology. By prioritizing both safety and functionality, Barndoor positions itself as an essential tool for organizations that depend on AI-driven solutions.

Media

Media

Integrations Supported

Model Context Protocol (MCP)
Visual Studio Code
Kubernetes

Integrations Supported

Model Context Protocol (MCP)
Visual Studio Code
ADP DataCloud
Active Directory
Asana
Claude
GitHub
Gmail
Google Cloud Platform
HubSpot CRM
Jira
Miro
Notion
OpenAI
Python
Salesforce
SendGrid
TypeScript
monday AI work platform

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

$500 per month
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

microsoft.github.io/mcp-gateway/

Company Facts

Organization Name

Barndoor.ai

Date Founded

2024

Company Location

United States

Company Website

barndoor.ai/

Categories and Features

AI Control Planes

Not specified

MCP Gateways

Not specified

Categories and Features

Agentic AI

Not specified

AI Control Planes

Not specified

AI Governance

Not specified

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