Access detailed documentation for n8n-MCP tools. Retrieve quick start guides, specific tool details, or comprehensive information using topic and depth parameters for efficient workflow automation.
Retrieve detailed SFRA documentation to explore properties, methods, and usage examples for classes or modules. Use this when developing SFRA controllers, middleware, or implementing SFRA-based features.
Enables retrieval and cleaning of official documentation content for popular AI/Python libraries (uv, langchain, openai, llama-index) through web scraping and LLM-powered content extraction. Uses Serper API for search and Groq API to clean HTML into readable text with source attribution.
Enables web page scraping via Jina reader API and searching FastMCP documentation using minsearch. Supports fetching markdown content from URLs and querying indexed documentation files.
MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to:
Submit and validate constraint models
Set model parameters
Solve constraint satisfaction and optimization problems
Retrieve and analyze solution