baryhuang_mcp-server-any-openapi

baryhuang_mcp-server-any-openapi

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This project is a scalable OpenAPI endpoint discovery and API request tool intended to support large OpenAPI documents through in-memory semantic search and endpoint-based chunking. It provides a fast and flexible server solution that integrates with Claude Desktop to process API requests efficiently.

MCP Server: Scalable OpenAPI Endpoint Discovery and API Request Tool

Features

  • Use remote OpenAPI JSON file as source, no need for local file system access.
  • Implements semantic search using optimized MiniLM-L3 model.
  • FastAPI-based server with async support.
  • Endpoint based chunking of OpenAPI specs.
  • In-memory FAISS vector search for instant endpoint discovery.

Limitations

  • Not supporting linux/arm/v7.
  • Cold start penalty if not using docker image.
  • Docker image issues involving model downloading and size.

Installation

Via Smithery

To install use: npx -y @smithery/cli install @baryhuang/mcp-server-any-openapi --client claude

Using pip

Install with: pip install mcp-server-any-openapi

Docker Support

  • Supports multi-platform builds for linux/amd64 and linux/arm64.

Configuration

Customize through environment variables like OPENAPI_JSON_DOCS_URL and MCP_API_PREFIX.

Available Tools

  • {prefix}_api_request_schema: Get API endpoint schemas based on query.
  • {prefix}_make_request: Essential for executing complex API requests reliably.