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ibm/mcp-context-forge v1.0.11 — MCP·A2A·API integration gateway

ibm/mcp-context-forge is a Python-based open source gateway, registry, and proxy that unifies MCP, A2A, and REST/gRPC APIs into a single endpoint, and its latest release is v1.0.11.

Repositoryibm/mcp-context-forge ↗

ibm/mcp-context-forge is a Python-based open source gateway, registry, and proxy that unifies MCP, A2A, and REST/gRPC APIs into a single endpoint, and its latest release is v1.0.11.

GitHub description: 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.

stars
★ 4.7K
Forks
932
Language
Python
License
Apache-2.0
Latest release
v1.1.0
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ibm/mcp-context-forge v1.0.11 is an AI gateway, registry, and proxy that sits in front of MCP, A2A, and REST/gRPC APIs. It centralizes discovery and proxying for multiple servers, authentication and policy, and observability; it is implemented in Python and distributed under the Apache-2.0 license.

The README describes this project as unifying MCP, A2A, and REST/gRPC APIs into a single endpoint. Callers need to know only one endpoint; it provides centralized governance, discovery, and observability, optimizes agent and tool calls, and supports plugins. Deployment is via PyPI or Docker, and Redis-based caching and multi-cluster federation are also supported. The repository has 4665 stars and was created on May 8, 2025.

That said, this material contains no performance benchmarks, no adoption case studies, and no figures comparing it with other gateways. The latest release is indeed v1.0.11, but with no release notes there is no way to tell what this version changed. In the evaluation record, the freshness, technology, and quality scores are empty apart from momentum 4.6, and no figures are given for user base size, maintenance cadence, or the traffic levels at which multi-cluster federation has been validated. The structure fits environments that want to gather multiple MCP servers in one place, but it is hard to make a judgment premised on validated scale or performance.