Enables natural language queries to search GitHub for trending repositories by topic, summarize project READMEs, and compare multiple repos to uncover ecosystem patterns.
Provides 12 tools to query South Korean building register data, including title sheets, floor details, and official house prices via the data.go.kr API. It enables users to perform smart building lookups and region code searches using natural language.
Provides comprehensive building and office address information queries for enterprises in China, including fuzzy enterprise search, office address details and statistics, and building information queries to support geographical distribution and occupancy analysis.
A minimal MCP server that enables searching through pre-scraped React documentation using a hybrid approach combining DuckDB full-text search and transformer-based reranking.
Enables AI-powered semantic search over React Hook Form documentation, allowing users to query and retrieve relevant documentation pages without an API key, running locally with offline support.
Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.
Provides access to GitHub trending projects through MCP, allowing AI assistants to query popular repositories filtered by language and time range (daily/weekly/monthly).
Enables intelligent access to React Native Godot documentation, examples, API references, and troubleshooting guides through searchable tools optimized for LLM workflows.
Enables AI agents to interact with the Nager MCP UI API through standardized Model Context Protocol tools. It provides a bridge for accessing date-related functionalities and public holiday information from date.nager.at.
Enables users to search and navigate over 22,500 indexed sections across 16 Canadian building codes and user guides. It supports keyword searches, hierarchy navigation, and optional full-text extraction from user-provided PDF documents.
Enables natural language search and analysis of uploaded PDF, CSV, and Excel documents using retrieval-augmented generation and MCP tools, providing contextual answers to user queries.
A Model Context Protocol server that enhances LLM capabilities by connecting to Wikipedia, internet search (Tavily), and financial data (Yahoo Finance) tools, enabling contextual responses to user queries.
Enables users to search for geographic locations and visualize them on an interactive 3D globe powered by CesiumJS and OpenStreetMap. It provides tools for geocoding addresses and rendering maps with specific bounding boxes through the Model Context Protocol.