Role1776/mcp-retrieval

Access Mastra's documentation via Model Context Protocol (MCP). Works with Cursor, Windsurf, Cline, Claude Code, VS Code, Codex, or any MCP-compatible tool. Follow the official installation instructions. Fetch documentation from mastra.ai by path. Supports guides and API references. Navigate migration guides for version upgrades. Supports directory browsing, section listing, and keyword search. Read docs from installed @mastra/ packages in node_modules. All tools require projectPath parameter. Entry point showing all available documentation tools and recommended workflows.

6 tools · Explore installed packages, Fetch docs by path

Fetch web content and convert HTML pages into LLM-friendly markdown output.

1 tool · fetch

The official MCP server implementation for the Perplexity API Platform, providing AI assistants with real-time web search, reasoning, and research capabilities through the Agent API and the Search API. The remote MCP server is hosted by Perplexity and is the easiest way to get started: same tools, nothing to install or update. The Cursor and VS Code buttons at the top of this page connect to it with one click. If your MCP client does not support remote servers yet, skip to the local server setup below. Connect over Streamable HTTP with your Perplexity API key:

4 tools · perplexity_ask, perplexity_reason

The Tavily MCP server provides: - search, extract, map, crawl tools - Real-time web search capabilities through the tavily-search tool - Intelligent data extraction from web pages via the tavily-extract tool - Powerful web mapping tool that creates a structured map of website - Web crawler that systematically explores websites - Tutorial on combining Tavily MCP with Neo4j MCP server - Tutorial on integrating Tavily MCP with Cline in VS Code Connect directly to Tavily's remote MCP server instead of running it locally. This provides a seamless experience without requiring local installation or configuration.

4 tools · Crawl a website systematically, Extract structured content from URLs

Model Context Protocol server for automating Firefox via WebDriver BiDi (through Selenium WebDriver). Works with Claude Code, Claude Desktop, Cursor, Cline and other MCP clients. Repository: https://github.com/mozilla/firefox-devtools-mcp > Note: This MCP server requires a local Firefox browser installation and cannot run on cloud hosting services like glama.ai. Use npx @mozilla/firefox-devtools-mcp@latest to run locally, or use Docker with the provided Dockerfile. Browser MCP servers carry inherent risks. A few key practices:

6 tools · evaluate_script, get_firefox_info

Node.js server implementing Model Context Protocol (MCP) for Mapbox APIs. The Mapbox MCP Server transforms any AI agent or application into a geospatially-aware system by providing seamless access to Mapbox's comprehensive location intelligence platform. With this server, your AI can understand and reason about places, navigate the physical world, and access rich geospatial data including: - Global geocoding to convert addresses and place names to coordinates and vice versa - Points of interest (POI) search across millions of businesses, landmarks, and places worldwide - Multi-modal routing for driving, walking, and cycling with real-time traffic - Travel time matrices to analyze accessibility and optimize logistics - Route optimization to find the optimal visiting order for multiple stops (traveling salesman problem) - Map matching to snap GPS traces to the road network for clean route visualization - Isochrone generation to visualize areas reachable within specific time or distance c

6 tools · directions_tool, distance_tool

The Meilisearch MCP Server is a Model Context Protocol server that enables any MCP-compatible client (including Claude, OpenAI agents, and other LLMs) to interact with Meilisearch. This stdio-based server allows AI assistants to manage search indices, perform searches, and handle your data through natural conversation. Why use this? - 🤖 Universal Compatibility - Works with any MCP client, not just Claude - 🗣️ Natural Language Control - Manage Meilisearch through conversation with any LLM - 🚀 Zero Learning Curve - No need to learn Meilisearch's API - 🔧 Full Feature Access - All Meilisearch capabilities at your fingertips - 🔄 Dynamic Connections - Switch between Meilisearch instances on the fly - 📡 stdio Transport - Currently uses stdio; native Meilisearch MCP support coming soon!

5 tools · Add and retrieve documents, Create and manage indices

MCP (Model Context Protocol) server to manage documents and perform searches using Needle through Claude's Desktop Application. - Overview - Features - Usage - Commands in Claude Desktop - Result in Needle - Installation - Video Explanation - Organize and store documents for quick retrieval. - Perform powerful searches via Claude's large language model. - Integrate seamlessly with the Needle ecosystem for advanced document management. MCP (Model Context Protocol) standardizes the way LLMs connect to external data sources. You can use Needle MCP Server to easily enable semantic search tools in your AI applications, making data buried in PDFs, DOCX, XLSX, and other files instantly accessible by LLMs.

4 tools · Add documents to a collection, Create a new collection