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MCP Context Forge

IBM-backed ContextForge gateway for federating MCP, A2A, REST, and gRPC APIs

open-sourceopen sourceupdated Jul 10, 2026
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MCP Context Forge is IBM’s Apache-2.0 ContextForge project for operating a gateway, registry, and proxy across MCP servers, A2A agents, REST APIs, and gRPC services. It centralizes discovery, authentication, policy controls, federation, and observability, with deployment paths through PyPI, Docker, and Kubernetes.

MCP Context Forge is IBM’s Apache-2.0 ContextForge project for running a registry, gateway, and proxy in front of Model Context Protocol servers and other agent-facing services. The canonical project name is ContextForge, with the repository slug mcp-context-forge; this record does not reduce it to the generic mcp-gateway label. It is designed to expose a unified entry point across MCP, A2A, REST, and gRPC APIs while keeping service discovery and administrative control in one deployable layer.

The upstream project describes centralized discovery, authentication, federation, policy and guardrail hooks, plugin support, rate limiting, caching, and observability integrations. It can translate or federate services behind a common MCP-compatible surface, which is relevant for teams that need to manage many tools or protocols instead of configuring each agent client independently. These are documented platform capabilities, not independent security or scale guarantees; production suitability still depends on deployment design, identity configuration, plugin review, data boundaries, and operational testing.

ContextForge is published through GitHub and PyPI and includes Docker and Kubernetes deployment paths, with multi-cluster options using Redis-backed federation and caching. Running the gateway can introduce databases, caches, ingress, certificates, logs, traces, tokens, and other infrastructure that must be secured and maintained by the operator. Teams should follow the current release and hardening guidance, rotate credentials, restrict administrative endpoints, and size the deployment for their own traffic rather than assuming the open-source license includes a managed service.

Pricing

Free Apache-2.0 open-source project published through GitHub and PyPI. Operators pay for their own compute, databases, caches, Kubernetes, observability, networking, and any connected model or API services.

Platforms

Python/PyPI, Docker, and Kubernetes; MCP, A2A, REST, and gRPC

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