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mcp-context-forge

IBM/mcp-context-forge

AI Gateway and registry for MCP, A2A, REST/gRPC APIs

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

81views this month

4.5k stars877 forksLast push Sep 19, 2026 Python Apache-2.0

Decision brief

mcp-context-forge is an AI gateway and registry for MCP, A2A, REST/gRPC APIs. It offers centralized discovery, guardrails, management, and optimization for agent and tool calling in Python.

Good fit when

  • When you need to integrate multiple APIs using a unified endpoint with support for MCP, Agent-to-Agent communication, or REST/gRPC services.
  • For projects that require advanced guardrails and management capabilities for AI models acting as agents within the application.

Avoid when

  • When only REST API support is required, without additional functionality such as MCP or A2A services.
  • For applications that do not benefit from centralized discovery and management features for AI agents, preferring more decentralized approaches to development.
Pricing:
freemium - Open-source, free to use for both personal and commercial projects.
Requirements:
Requires Docker; Supports running with Docker for ease of deployment.

Observed Jul 16, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of Sep 20, 2026
Provenance
Not a fork · Organization account
As of Sep 20, 2026
Security (OSV)
No MCP manifest
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install mcp-context-forge
PyPI

How it fits your stack(1)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Unified endpoint with centralized discovery, guardrails, management, optimized for agent and tool calling. Supports plugins.

Capability facts

Deploy
Self-host

Source: dockerfile:docker-compose.yml · Sep 20, 2026

Docker
Dockerfile present

Source: dockerfile:docker-compose.yml · Sep 20, 2026

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Sep 20, 2026

MCP server
No MCP server detected

Source: repo_scan · Sep 20, 2026

Languages
python, javascript

Source: github.language+package.json+pyproject.toml · Sep 20, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

lopment.** The gateway will not start without them. Generate real secrets with `python3 -m mcpgateway.scripts.init_secrets` before first run.
Source link
SSE transportSSE

Source: README excerpt (regex_v1, Sep 20, 2026)

--expose-sse \
Source link
stdio transportstdio

Source: README excerpt (regex_v1, Sep 20, 2026)

--stdio "docker run --rm -i ghcr.io/ibm/fast-time-server:latest -transport=stdio" \
Source link

Tags

README

Quick Start PyPI ContextForge is published on PyPI as . ⚠️ and are required in every environment — including local development. The gateway will not start without them. Generate real secrets with before first run. TLDR — single command using uv: bash 1️⃣ Create an isolated env an...

For agents

This page has a .md twin and JSON over the API.

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