mcp-context-forge: An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified

by IBM · MCP Server · ★ 4.8k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install mcp-context-forge

uvx --from mcp-contextforge-gateway mcpgateway --host 0.0.0.0 --port 4444
pip install mcp-contextforge-gateway

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 72/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentsaiapi-gatewayasyncioauthentication-middlewaredevopsdockerfastapifederationgateway

Quick Facts

Stars4,765
Forks963
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score72/100
Open Issues995
Last Updated2026-11-06
Created2025-05-08
Platformsdocker, k8s, mcp, python
Est. Tokens~23k

About mcp-context-forge

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.           [![Deploy to

Compatible Skills

These tools work well together with mcp-context-forge for enhanced workflows:

  • bifrost — semantic(0.35)+shared_fw(anthropic,openai)+rare_topics+similar_pop+shared_platform (58%)
  • lm-proxy — semantic(0.18)+complementary+shared_fw(anthropic,openai)+same_lang+shared_platform (57%)
  • kiro-gateway — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • litellm — semantic(0.29)+shared_fw(anthropic,openai)+rare_topics+same_lang+shared_platform (56%)
  • agent-cli-to-api — semantic(0.16)+complementary+shared_fw(openai)+rare_topics+same_lang+shared_platform (53%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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