ContextForge
Unifies REST, Model Context Protocol (MCP), and A2A services through a production-grade gateway and proxy, offering federation, virtualization, and robust management for AI clients.
About
ContextForge MCP Gateway is a production-grade gateway, registry, and proxy that sits in front of any Model Context Protocol (MCP) server or REST API, exposing a unified endpoint for all your AI clients. It supports federation across multiple MCP and REST services, virtualization of legacy APIs as MCP-compliant tools and servers, and various transport protocols like HTTP, JSON-RPC, WebSocket, SSE, stdio, and streamable-HTTP. It also features an Admin UI for real-time management and configuration, built-in authentication, observability, retries, rate-limiting, and is designed for scalable deployments via Docker or PyPI, with Redis-backed caching and multi-cluster federation.
Key Features
- Supports diverse transport protocols including HTTP, JSON-RPC, WebSocket, Server-Sent Events (SSE), and stdio.
- Virtualizes legacy APIs and non-MCP services as MCP-compliant tools and servers.
- Provides an optional Admin UI for real-time management, configuration, and observability of services.
- Includes built-in authentication, rate-limiting, retry policies, and comprehensive health checks.
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- Federates multiple Model Context Protocol (MCP) and REST services for unified discovery and access.
Use Cases
- Consolidating various AI client endpoints into a single, unified interface.
- Deploying scalable, secure, and observable AI service infrastructure in multi-cluster environments.
- Integrating existing REST APIs with Model Context Protocol (MCP) enabled applications and clients.
