mcp-context-forge
Active·★ 3.8k·Apache-2.0·Updated 2026-05-29
★ Trending★ Essential
A Model Context Protocol (MCP) Gateway & Registry. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE, Streamable HTTP).
ContextForge MCP Gateway is a feature-rich gateway and proxy that unifies diverse AI services including REST, MCP, and Agent-to-Agent (A2A) protocols into a single, clean endpoint. It offers advanced features like federation, virtual servers, robust authentication, rate-limiting, and comprehensive OpenTelemetry observability.
#MCP Gateway#API Proxy#AI Integration#Federation#Python#Coding
01
Features
01Unified Endpoint for diverse AI services (MCP, REST, A2A)
02Federation and Virtualization of APIs (REST/gRPC to MCP)
03Comprehensive Admin UI for management and monitoring
04Robust Authentication, Rate-limiting, and Retries
05Advanced OpenTelemetry Observability
02
Compatibility
Claude Desktop
Supported
Verified via docs
VS Code
Supported
Verified via docs
Docker
Native
Verified via docs
Podman
Native
Verified via docs
Kubernetes
Supported
Verified via docs
IBM Cloud Code Engine
Supported
Verified via docs
03
Quick start
1
$ pip install mcp-contextforge-gateway
04
Use cases
↳Consolidating various AI models and services (REST, MCP, A2A) behind a single API gateway for client access.
↳Integrating legacy REST or gRPC APIs into an MCP-compliant ecosystem without rewriting them.
↳Deploying a scalable and observable AI gateway in multi-cluster environments, with built-in security and traffic management.
05
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