Powertools MCP Search Server

Enables Model Context Protocol integration for efficient, version-specific search of MkDocs-powered documentation sites using lunr.js, enhancing Large Language Model access to relevant content.

A proof-of-concept Model Context Protocol server enabling seamless integration of large language models with external tools using Uber Eats data and Python-based setup.

Model Context Protocol server enabling Large Language Models to query and analyze network asset information from ZoomEye using advanced search parameters, with caching, retry, and error handling features for seamless integration with AI assistants and development environments.

Provides Model Context Protocol (MCP) compliant web search functionality via Google Custom Search API, enabling language models to perform validated, configurable searches with formatted results and seamless integration.

Model Context Protocol server enabling seamless search and download of academic papers from arXiv, PubMed, bioRxiv, and Sci-Hub with standardized output and integration for large language models.