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qualityA Python-based MCP server that integrates OpenAPI-described REST APIs into MCP workflows, enabling dynamic exposure of API endpoints as MCP tools.
Last updated 7 months ago
132
MIT License
Why this server?
This server can integrate with any REST API described by an OpenAPI specification, dynamically exposing API endpoints as MCP tools, which fits the requirement of using various APIs.
Why this server?
This server serves as a foundation for invoking AI models from providers like Anthropic and OpenAI, which could be used after pulling data from the APIs to process it.
Why this server?
Provides real-time weather data from KNMI weather stations. While specific to weather, it demonstrates how an MCP server can interact with an API to retrieve data.
Why this server?
Can fetch and process web content in multiple formats, allowing interaction with APIs that return data in HTML, JSON, or other formats.
Why this server?
A lightweight MCP server that provides a unified interface to various LLM providers including OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama.
Why this server?
Enables web searches using the Exa AI Search API, allowing the LLM to gather current information needed for more specific API calls.