A Multi-Agent Conversation Protocol Server that provides access to Google's Local Services API, enabling interaction with local service businesses information through natural language commands.
Enables AI agents to search a catalog of 880+ artist-owned tracks by title, genre, mood, energy and musical key, audition previews, read live license prices, and build multi-track quotes that end in a pre-filled checkout page for social media, TV/streaming and film use. All tools are read-only with no API key, leaving payment and license request submission to the website.
Local-first realtime web research MCP for LM Studio with keyless SearXNG, clickable citations, adaptive deep research, provider health, and one-click Windows startup.
Enables fast local hybrid search over a folder of markdown files via MCP, combining BM25 and vector similarity with explicit relevance verdicts and no LLM or network calls at query time.
Privacy-first MCP server for macOS that allows AI agents to search local images using natural language descriptions, leveraging MLX CLIP embeddings and LanceDB for fast, fully offline search.
Enables natural-language semantic search over your own local files through an MCP server, fully offline without API keys or a server daemon, with optional LLM-grounded answers and exact file:line sources.
A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.
Multi-tool MCP server for AI agents with 29 tools across web scraping, SEO analysis, screenshot and PDF generation, domain intelligence, content extraction, multi-chain EVM blockchain queries, and security toolkit. Free tier available with no auth required.
Provides a free, no-paid-API web search gateway for AI agents using DuckDuckGo and Bing HTML scrapers, with tools for search, URL fetching, and text extraction.
Enables semantic search across indexed documents using vector embeddings. Index GitHub repositories and URLs to perform natural language queries with AI-enhanced contextual results.
Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.