mcp-server-any-openapi

Overview

This MCP server processes OpenAPI specifications by chunking them into individual endpoints and creating an in-memory vector search index using FAISS. It enables Claude to discover relevant API endpoints through natural language queries and then execute actual API requests. The server handles large API documents efficiently through optimized MiniLM-L3 embeddings and endpoint-centric processing, making it ideal for integrating private APIs with Claude Desktop.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• any_openapi_api_request_schemaquery: string

  Get API endpoint schemas that match your intent. Returns endpoint details including path, method, parameters, and response formats.

  Try:Get user profile informationTry:Create a new job postingTry:List all products
• any_openapi_make_requestmethod: string, url: string, headers: object, query_params: object, body: object

  Make HTTP requests to API endpoints with full control over request parameters.

  Try:Get prices for all stocksTry:Update user informationTry:Create a new order

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Installation

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

pip install mcp-server-any-openapi

{
  "mcpServers": {
    "any_openapi": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "OPENAPI_JSON_DOCS_URL=https://api.example.com/openapi.json",
        "-e",
        "MCP_API_PREFIX=finance",
        "-e",
        "GLOBAL_TOOL_PROMPT='Access to insights apis for ACME Financial Services abc.com .",
        "buryhuang/mcp-server-any-openapi:latest"
      ]
    }
  }
}

FAQ

How does this server handle large OpenAPI specifications?

It chunks OpenAPI specs into individual endpoints and creates an in-memory FAISS vector search index, allowing it to efficiently process specifications up to 10MB (~5,000 endpoints).

What platforms are supported by this MCP server?

The Docker images support linux/amd64 and linux/arm64 platforms. It's noted that linux/arm/v7 is not supported due to build failures with the Transformer library.

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