mcp-context-forge
Eliminates API fragmentation across agents and tools by providing a single, governed endpoint.
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.
- Ask Claude to route API calls through a single unified gateway instead of managing multiple endpoints.
- Generate security policies that enforce guardrails across all connected APIs and MCP servers.
- Automate agent tool discovery and registration across heterogeneous backend systems and APIs.
Eliminates API fragmentation across agents and tools by providing a single, governed endpoint. Reduces integration friction, enforces security policies, and simplifies agent orchestration at scale.
Enterprise teams managing multiple AI agents and heterogeneous APIs requiring centralized control and audit trails.
https://github.com/IBM/mcp-context-forge
By IBM
How to Get It
claude mcp add mcp-context-forge -- npx -y mcp-context-forge
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Route API calls through a single unified gateway instead of managing multiple endpoints
Trust Signals Auto-scanned
Data & Access
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 4,167 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 4,167 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.