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mcp-context-forge MCP Server

IBM/mcp-context-forge

Score: 77.9 ↓ 8.1% Rank #2451 Monitoring
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An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.

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Overview

IBM/mcp-context-forge is a Python agent tool licensed under Apache-2.0. An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins. Topics: agents, ai, api-gateway, asyncio, authentication-middleware, devops, docker, fastapi, federation, gateway, generative-ai, jwt, kubernetes, llm-agents, mcp, model-context-protocol, observability, prompt-engineering, python, tools.

Ranked #2451 out of 24846 indexed tools.

In the top 10% of all indexed tools.

Has 4,610 GitHub stars.

Has 177 contributors.

Ecosystem

Python Apache-2.0 1 pypi/wk
agentsaiapi-gatewayasyncioauthentication-middlewaredevopsdockerfastapifederationgatewaygenerative-aijwtkubernetesllm-agentsmcpmodel-context-protocolobservabilityprompt-engineeringpythontools

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 4,610

4,610 stars → well-known project

Freshness 25% 15d ago

Last commit 15d ago → recently updated

Issue Health 25% 74%

2767/3736 issues closed → decent issue management

Contributors 10% 177

177 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads 13% 1/wk

1 weekly installs → early adoption

Forks 921
Description Detailed
License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for IBM/mcp-context-forge
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Matched Queries

"agent tool"topic:mcptopic:model-context-protocol

From the README

# ContextForge

> An open source registry and proxy that federates MCP, A2A, and REST/gRPC APIs with centralized governance, discovery, and observability. Optimizes Agent & Tool calling, and supports plugins.

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**ContextForge** is an open source registry and proxy that federates tools, agents, and APIs into one clean endpoint for your AI clients. It provides centralized governance, discovery, and observability across your AI infrastructure:

- **Tools Gateway** — MCP, REST, gRPC-to-MCP translation, and TOON compression
- **Agent Gateway** — A2A protocol, OpenAI-compatible and Anthropic agent routing
- **API Gateway** — Rate limiting, auth, retries, and reverse proxy for REST services
- **Plugin Extensibility** — 40+ plugins for additional transports, protocols, and integrations
- **Observability** — OpenTelemetry tracing with Phoenix, Jaeger, Zipkin, and other OTLP backends

It runs as a fully compliant MCP server, deployable via PyPI or Docke
Read full README on GitHub →

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