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by rahgadda • APIs & Integration
Exposes an OpenAPI-described REST API as a Model Context Protocol (MCP) server so LLMs can call and interact with HTTP endpoints via prompts.
Call and interact with any REST API described by an OpenAPI spec, enabling LLM-driven API requests and responses.
Fine-grained control over which API operations are allowed, using operationId whitelists or blacklists to constrain model actions.
Easy local deployment and integration (pip install + uv run) to test or demo LLM-driven workflows against live APIs (including support for custom headers and proxies).
This project installs an MCP server that provides configured REST API endpoints (from an OpenAPI spec) as context to language models, enabling them to perform GET/PUT/POST/PATCH calls via prompts. It supports configuring base URL, headers, whitelists/blacklists for operationIds, and proxy settings via environment variables. The package is installable via pip and includes examples for integration with tools like Claude Desktop and the uv packaging/runner.
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