A configurable MCP server that intelligently routes natural language queries to the appropriate microservice endpoint based on user-defined service configurations.
A centralized management platform that aggregates multiple Model Context Protocol (MCP) servers into a single unified endpoint for AI agents. It provides a web interface for hot-swappable tool management, proxying of existing servers, and AI-powered generation of custom MCP plugins.
An MCP server implementation that standardizes how AI applications access tools and context, providing a central hub that manages tool discovery, execution, and context management with a simplified configuration system.
Enables AI harnesses to connect to a single MCP endpoint that routes to multiple downstream MCP servers, discovering and executing capabilities on demand while keeping tool schemas out of context.
Provides a unified MCP interface that proxies requests to multiple backend servers including memory/knowledge graph and vector database services. Enables seamless access to distributed MCP tools through a single endpoint with automatic routing, health monitoring, and retry logic.