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What is MCP Manager?

MCP Manager acts as a centralized cloud-based control system that supervises the functioning of Model Context Protocol (MCP) servers and manages how AI clients access and utilize their data and resources. This platform allows teams to connect both on-site and cloud-based MCP servers, effectively oversee user permissions, enforce customizable security policies, and analyze usage patterns through aggregated logs and metrics. It is specifically designed for organizations incorporating AI assistants and agents that need thorough monitoring of tools operated through MCP. Administrators are equipped to set guidelines for acceptable servers, limit access to certain tools and resources, and monitor requests across interconnected systems. Moreover, MCP Manager simplifies the integration process with MCP-compliant clients and services, providing capabilities for policy enforcement, access management, observability, and enhanced security measures. Teams benefit from a unified approach to managing MCP connections rather than having to configure each AI client independently, resulting in a more efficient and organized oversight experience. Ultimately, MCP Manager not only enables organizations to retain control and security over their AI implementations but also optimizes resource usage, fostering innovation and productivity. By streamlining operations, it helps organizations focus on their core objectives while ensuring that their AI deployments operate smoothly and securely.

What is Docker MCP Gateway?

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.

Media

Media

Integrations Supported

Amazon Bedrock Guardrails
Asana
ChatGPT
Claude
Cursor
GitHub
GitHub Copilot
Google Drive
Google Workspace
Notion
Slack

Integrations Supported

Docker
Model Context Protocol (MCP)
ZizkaDB

API Availability

Has API

API Availability

Has API

Pricing Information

$135/month
Core is $135 per month, Plus is $400 per month, and Professional is $668 per month. Enterprise pricing is available by quote.
Free Trial Offered?

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Usercentrics

Company Location

Germany

Company Website

mcpmanager.ai/

Company Facts

Organization Name

Docker

Date Founded

2013

Company Location

United States

Company Website

docs.docker.com/ai/mcp-catalog-and-toolkit/mcp-gateway/

Categories and Features

AI Gateways

Not specified

MCP Gateways

Not specified

Categories and Features

MCP Gateways

Not specified

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