MCP Server for OpenAPI Schema Exploration
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[](https://mseep.ai/app/nyudenkov-openapi-mcp-proxy) # OpenAPI MCP Server An MCP server that provides tools for exploring large OpenAPI schemas without loading entire schemas into LLM context. Perfect for discovering and analyzing endpoints, data models, and API structure efficiently. ## Features - **API Configuration Management**: Save and manage multiple API configurations with authentication headers if needed - **Schema Caching**: Automatic caching of OpenAPI schemas to avoid repeated downloads - **Endpoint Discovery**: List and search through API endpoints - **Pagination Support**: Handle large APIs efficiently with configurable page sizes - **Detailed Schema Exploration**: Get comprehensive information about endpoints and data models - **Efficient Context Usage**: Explore large APIs without overwhelming LLM context windows <div align="center">  </div> ## Prerequisites - **Python 3.13+**: The server requires Python 3.13 or later - **uv**: Fast Python package installer and resolver ([installation guide](https://docs.astral.sh/uv/getting-started/installation/)) - **MCP-compatible client**: Claude Desktop, Claude Code CLI, Cursor, or other MCP clients ### Installing uv **macOS/Linux:** ```bash curl -LsSf https://astral.sh/uv/install.sh | sh ``` **Using pip:** ```bash pip install uv ``` ## Installation 1. **Clone the repository:** ```bash git clone https://github.com/nyudenkov/openapi-mcp-proxy.git cd openapi-mcp-proxy ``` 2. **Install dependencies:** ```bash uv sync ``` 3. **Verify installation:** ```bash # Test that the server starts correctly uv run python main.py ``` The server should start without errors. ## Usage ### Running the Server ```bash uv run python main.py ``` The server runs using stdio and integrates with MCP-compatible LLM clients. ### Available Tools #### API Management - **`add_api`**: Add a new …
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