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Infrastructure & MLOps

Mcp Context Forge

MCP Context Forge is an open-source IBM project that functions as a gateway, proxy, and registry for Model Context Protocol (MCP) servers. It federates multiple MCP servers, REST APIs, and Agent-to-Agent (A2A) services into a single unified endpoint, facilitating discovery, authentication, rate-limiting, and observability for AI clients and coding agents. The gateway supports deployment via PyPI or Docker and can scale to Kubernetes environments using Redis-backed caching and multi-cluster federation. It virtualizes legacy APIs as MCP-compliant tools and translates gRPC services to MCP through automatic reflection-based discovery. Supported transports include HTTP, JSON-RPC, WebSocket, Server-Sent Events (SSE), stdio, and streamable HTTP.

Updated Dec 19, 2025open-source
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Overview

MCP Context Forge federates multiple MCP, REST, and A2A services into a unified endpoint with built-in authentication, rate-limiting, and observability.

Pricing
open-source
Category
Infrastructure & MLOps
Company
Visual Guide
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Key Features
01
Combines MCP servers, REST APIs, and A2A services into a single endpoint for AI clients.
02
Registers and exposes external AI agents such as OpenAI and Anthropic as MCP tools.
03
Automatically discovers and translates gRPC services to MCP using reflection.
04
Supports HTTP, JSON-RPC, WebSocket, SSE with keepalive, stdio, and streamable HTTP transports.
05
Includes an optional Admin UI for real-time management, configuration, and monitoring, with multi-tenancy features like email authentication, teams, and role-based access control (RBAC).
06
Deployable via PyPI or Docker, scalable to Kubernetes with Redis caching and multi-cluster federation.
Real-World Use Cases

Unified AI Service Endpoint

Developers building AI agents or applications that require access to multiple MCP, REST, and A2A services.

Legacy API Virtualization

Organizations needing to expose legacy APIs as MCP-compliant tools for AI clients.

Quick Start
1
Install MCP Context Forge
Install via PyPI using pip install contextforge-mcp or deploy using Docker.
2
Configure Environment
Set required environment variables such as APP_NAME and HOST in a .env file.
3
Run the Gateway
Start the gateway using commands like make dev for development environments.
4
Enable Features and Federation
Enable A2A integration by setting MCPGATEWAY_A2A_ENABLED=true and configure federation for backend MCP and REST services.
5
Access Admin UI
Use the optional Admin UI for real-time management, monitoring, and configuration.
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Pricing
Model: open-source

MCP Context Forge is open-source and deployable via PyPI or Docker, with no pricing information available, indicating free self-hosted use.

Assessment
Strengths
  • Unifies multiple MCP, REST, and A2A services under a single endpoint with built-in authentication and rate-limiting.
  • Supports a wide range of transports and virtualizes legacy APIs as MCP tools.
  • Includes an Admin UI for real-time monitoring and multi-tenancy with role-based access control.
  • Scalable deployment options including Kubernetes with Redis caching.
  • Open-source with demo agents and migration guides available.
Limitations
  • Upgrades such as version 0.9.0 require database migrations and introduce multi-tenancy changes.
  • Configuration involves multiple environment variables and may require Redis setup for scaling.
Alternatives
Atlassian Forge MCP Server→