Context Forge: The Ultimate AI Gateway for MCP and REST APIs

Introducing Context Forge: The Unified AI Gateway

Context Forge is an open-source AI Gateway developed by IBM that acts as a centralized proxy and registry for MCP (Model Context Protocol), A2A (Agent-to-Agent), and REST/gRPC APIs. It provides a single unified endpoint that replaces multiple individual API connections with one managed interface.

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Key Features

🔌 MCP & A2A Support	Native protocol support for Model Context Protocol and Agent-to-Agent communication
🛡️ Centralized Guardrails	Authentication, rate limiting, and policy enforcement at the gateway level
📊 Observability	Enterprise-grade monitoring, logging, and metrics for all API traffic
🔍 Service Discovery	Centralized registry for discovering available MCP servers and tools
🧩 Plugin System	Extensible plugin architecture for custom middleware and transformations
🐳 Flexible Deployment	Docker, Kubernetes, or Python package with FastAPI backend

Why Use Context Forge?

As organizations adopt multiple AI agents and MCP servers, managing each connection individually becomes a maintenance nightmare. Context Forge solves this by providing a single gateway that handles routing, authentication, rate limiting, and discovery across all your AI services. It works with any MCP server, A2A agent, or traditional REST/gRPC API, making it ideal for enterprises building multi-agent AI systems.

Built with Python and FastAPI, Context Forge is lightweight, performant, and easy to deploy. It supports Kubernetes for production workloads and Docker Compose for development environments.

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Docker Compose configurations, system requirements, and more.

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