Model Context Protocol servers let AI agents reach beyond the codebase. They connect your agent to external APIs, databases, search engines, and services through a standardized protocol, so the agent can actually take action, not just write code.
1087 servers
A Model Context Protocol (MCP) server implementation that integrates with Firecrawl for web scraping capabilities. - Web scraping, crawling, and discovery - Search and content extraction - Deep research and batch scraping - Cloud browser sessions with agent-browser automation - Automatic retries and rate limiting - Cloud and self-hosted support - SSE support Configuring Cursor 🖥️ Note: Requires C
mcp-name: io.github.henilcalagiya/mcp-apple-notes Apple Notes MCP Server provides seamless integration of Apple Notes with any MCP-compatible client. It enables full note automation — including creating, reading, updating, and deleting notes — through a simple and secure AppleScript API layer. Full CRUD support for Apple Notes (Create, Read, Update, Delete) Works with Continue.dev, Claude Desktop,
A [Model Context Protocol][mcp] (MCP) server for Chess.com's Published Data API. This provides access to Chess.com player data, game records, and other public information through standardized MCP interfaces, allowing AI assistants to search and analyze chess information. [mcp]: https://modelcontextprotocol.io/introduction/introduction - [x] Access player profiles, stats, and game records - [x] Sea
MCP Manager for Claude Desktop A simple web GUI to manage Model Context Protocol (MCP) servers for the Claude Desktop app on MacOS easily. Just follow the instructions and paste a few commands to give your Claude app instant superpowers. The Model Context Protocol (MCP) enables Claude to access private data, APIs, and other services to answer questions and perform actions on your behalf. Learn mor
A FastMCP-powered Model Context Protocol server for Google Ads API integration with automatic OAuth 2.0 authentication Connect Google Ads API directly to Claude Desktop and other MCP clients with seamless OAuth 2.0 authentication, automatic token refresh, GAQL querying, and keyword research capabilities. Your browser does not support the video tag. For a simpler setup experience, we offer ready-to
A Model Context Protocol (MCP) server implementation that provides access to various storage services via Apache OpenDAL™. - Seamless access to multiple storage services including S3, Azure Blob Storage, Google Cloud Storage, and more - List files and directories from storage services - Read file contents with automatic text/binary detection - Environment variable based configuration Add the follo
A Model Context Protocol (MCP) server that connects to Databricks API, allowing LLMs to run SQL queries, list jobs, and get job status. - Run SQL queries on Databricks SQL warehouses - List all Databricks jobs - Get status of specific Databricks jobs - Get detailed information about Databricks jobs - Python 3.7+ - Databricks workspace with: - Personal access token - SQL warehouse endpoint - Permis
An MCP server providing 56 semantic analysis tools for Java, built directly on Eclipse JDT for compiler-accurate code understanding. JavaLens exists because AI systems need compiler-accurate insights that reading source files cannot provide. When an AI uses grep or Read to find usages of a method, it cannot distinguish: - A method call from a method with the same name in an unrelated class - A fie
The browser for your coding agent. Your real Safari, logged in — no Chrome, no heat, no headless. 97 tools · No Chrome/Puppeteer/Playwright needed · ~5ms per command · 60% less CPU than Chrome Quick Start · All 97 Tools · Examples · Why Safari MCP? · Architecture · Changelog Your AI agent needs to browse. So it either: - Spins up Chromium via Playwright — with no logins, no cookies, no sessions -
Headless IDA Pro binary analysis via Model Context Protocol. Go orchestrates multi-session concurrency while Python workers handle IDA operations. Key features: - Multi-session concurrency via process isolation - 52 MCP tools for binary analysis - Automatic session timeouts (4 hours default, configurable) - Paginated results with configurable limit (default 1000) - Il2CppDumper metadata import for
A TypeScript Model Context Protocol (MCP) server that exposes Google Maps Platform APIs as tools for LLMs. Gives AI assistants real, structured map data — directions, transit routes, place search, address validation, photos, elevation, and more — instead of guessing from training data. Works with Claude Desktop and any other MCP-compatible client. 15 tools across three categories: Transport: HTTP
Tableau MCP Tableau MCP is a suite of developer primitives, including tools, resources and prompts, that will make it easier for developers to build AI applications that integrate with Tableau. Tableau MCP is available as a managed service at https://mcp.tableau.com. It uses OAuth 2.1 so every user signs in with their own Tableau Cloud identity, and all existing per-user permissions are enforced a
The whole local AI stack in one executable: it runs and manages the models, and searches everything you own with them. Project site · Tutorial reels · PyPI · Obsidian plugin · REST API · Chat (lilbee) lilbee runs and manages your models: chat, embedding, vision, and rerank, placed across every GPU you have. It puts them to work as a searc
Compose and post formatted content to a Telegram channel -- MarkdownV2 escaping, message splitting, media ordering
AI can build products. But it still doesn't talk to users. Usercall MCP lets AI agents run user interviews via voice calls and return structured insights with themes and verbatim quotes. Works with Claude Desktop, Cursor, and any MCP-compatible client. AI agents can now build and ship products extremely quickly. But most agents still rely on synthetic feedback or assumptions about users. Usercall
The local Dynatrace MCP server allows AI Assistants to interact with the Dynatrace observability platform, bringing real-time observability data directly into your development workflow. If you need help, please contact us via GitHub Issues if you have feature requests, questions, or need help. You can add this MCP server to your MCP Client like VSCode, Claude, Cursor, Amazon Q, Windsurf, ChatGPT,
A Model Context Protocol (MCP) server for interacting with iOS simulators. This server allows you to interact with iOS simulators by getting information about them, controlling UI interactions, and inspecting UI elements.
A Model Context Protocol server for Zotero integration. It gives any LLM full access to your Zotero library: search, organize, add papers by DOI, import PDFs, read full-text content, and inject live citations into Word documents. The server is designed to be usable by any LLM without external documentation. On connection, it sends workflow instructions via the MCP instructions field, and each tool
The Octagon Deep Research MCP server provides specialized AI-powered comprehensive research and analysis capabilities by integrating with advanced deep research agents. No rate limits, faster than ChatGPT Deep Research, more thorough than Grok DeepSearch or Perplexity Deep Research. Add unlimited deep research functionality to any MCP client including Claude Desktop, Cursor, and other popular MCP-
Trade stocks directly from your AI assistant Create bots, manage portfolios, and execute trades with natural language Documentation • Get API Key A Model Context Protocol (MCP) server that connects AI assistants like Claude Desktop, Cursor, and Windsurf to VibeTrader's trading platform. - Create Bots: Create AI-powered trading bots using natural language - Manage Bots: Start, pause, delete, and mo
An MCP server for JupyterCAD that allows you to control it using LLMs/natural language. Suggestions and contributions are very welcome. The default transport mechanism is stdio. To start the server with stdio, use the following command: To use the streamable-http transport, use this command instead: An example using the OpenAI Agents SDK is available at examples/openaiagentsclient.py. To run it, f
MCP server for MinerU document parsing API — extract text, tables, and formulas from PDFs, DOCs, and images. - VLM model — 90%+ accuracy for complex documents - Pipeline model — Fast processing for simple documents - Local file upload — Upload files from disk for batch parsing - Batch processing — Parse up to 200 documents at once - Download & rename — Extract markdown with original filenames - Pa
IDA Pro MCP Server is a plugin that allows remote querying and control of IDA Pro through the Model Context Protocol (MCP) interface. This plugin enables AI assistants (such as Claude) to interact directly with IDA Pro for binary analysis tasks. This server provides a series of tools that allow AI assistants to perform the following operations: - Get byte data from specific addresses - Get disasse
An MCP server that tracks newly created liquidity pools on Pancake Swap, providing real-time data for DeFi analysts, traders, and developers. - Real-Time Pool Tracking: Fetches pools created within a specified time range (default: 5 minutes). - Customizable Queries: Adjust the time range (in seconds) and the number of pools returned (default: 100). - Detailed Metrics: Includes pool address, tokens