Unified MCP server for querying multiple LLM providers (Gemini, OpenAI, Anthropic, etc.) with advanced routing, cost optimization, and fallback resilience.
A configurable MCP server that intelligently routes natural language queries to the appropriate microservice endpoint based on user-defined service configurations.
A local-first LLM routing MCP server that keeps sensitive data on your own models, with fail-closed privacy and manager-worker delegation, exposing route and complete tools to any MCP client.
MCP server providing persistent memory, semantic search, versioned storage, webhook fanout, and unified LLM routing for AI agents via FastAPI runtime with multiple backend options.
Enterprise-grade dynamic MCP proxy that eliminates token bloat by lazy-loading tool schemas based on semantic intent, enabling efficient orchestration of multiple backend tools from a single endpoint.
MCP server that enables agents to dynamically switch between multiple AI models (OpenAI, Anthropic, Google, etc.) with unified protocol-driven configuration and capability discovery.