MCP Router is an open-source management platform designed to simplify the deployment and coordination of Model Context Protocol (MCP) servers used by AI agents. MCP is an emerging standard that allows language models and AI assistants to connect to external tools, data sources, and services through a structured interface. The MCP Router project acts as a centralized manager that helps developers run, configure, and coordinate multiple MCP servers within a single environment. This enables AI applications to access multiple tools and knowledge sources through a unified interface rather than connecting to each service individually. The project provides infrastructure for routing requests between clients and MCP servers, enabling scalable multi-tool agent systems. Developers building AI agents can use the platform to manage tool endpoints, control service availability, and simplify agent integration workflows.
Features
- Centralized management platform for MCP servers
- Unified routing layer connecting AI agents to external tools
- Support for building multi-tool AI agent ecosystems
- Infrastructure for managing multiple MCP services simultaneously
- Developer tools for configuring MCP endpoints and connections
- Designed for integration with modern AI assistants and agent systems