A universal MCP server that connects any REST API to AI assistants via OpenAPI or Postman specifications. It enables dynamic tool creation with GraphQL-style field selection and automatic schema inference for efficient data retrieval.
A lightweight and fast MCP server that enables AI agents to efficiently discover and execute tools through progressive disclosure, minimizing context consumption while supporting safe code execution in external environments.
A plugin-based MCP server built on FastAPI that supports dynamic tool loading, hot reloading, and API key authentication for extensible AI tool integrations.
A proxy server that wraps existing MCP servers to significantly reduce token consumption by compressing tool descriptions into a two-step interface. It enables users to integrate extensive toolsets without exceeding context limits or incurring high API costs.
Token-optimized MCP server that reduces context window usage by 59.5% by grouping 12 tools into 5 semantic operations, preserving all original functionality for AI assistants.
A production-ready MCP server built with FastAPI, providing an enhanced tool registry for creating, managing, and documenting AI tools for Large Language Models (LLMs).
