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.
1088 servers
MCP server for Keepsake — the personal CRM that helps you nurture your relationships. Connect your AI assistant (Claude, Cursor, or any MCP-compatible client) to your Keepsake data: contacts, interactions, tasks, notes, daily journal, companies, and tags. Your AI assistant becomes a personal relationship manager. Ask it to: - "Who did I last talk to at Acme Corp?" - "Add a note that I ran into Sar
MCP server to interact with Google products. Right now, this MCP server supports Gmail and Calendar integration with the following capabilities: Multiple google accounts Get your Gmail user information Query emails with flexible search (e.g., unread, from specific senders, date ranges, with attachments) Retrieve complete email content by ID Create new draft emails with recipients, subject, body an
A Model Context Protocol (MCP) server that provides access to the Metropolitan Museum of Art Collection through natural language interactions. This server allows AI models to search The Met's art collection and retrieve artwork details (including images) via tool results. - List Departments - Search Museum Objects - Get Museum Object - Open Met Explorer App - Prerequisites - Quick Start - Configur
A Model Context Protocol server that provides read and write access to Airtable databases. This server enables LLMs to inspect database schemas, then read and write records. Step 1: Create an Airtable personal access token by clicking here. Details: - Name: Anything you want e.g. 'Airtable MCP Server Token'. - Scopes: schema.bases:read, data.records:read, and optionally schema.bases:write, data.re
This project implements a Model Context Protocol (MCP) Server that wraps Cisco pyATS and Genie functionality. It enables structured, model-driven interaction with network devices over STDIO using the JSON-RPC 2.0 protocol. 🚨 This server does not use HTTP or SSE. All communication is done via STDIN/STDOUT (standard input/output), making it ideal for secure, embedded, containerized, or LangGraph-ba
Natural language access to 1000 Genomes Project dataset, hosted online in Dnaerys variant store Sequenced & aligned by New York Genome Center (GRCh38). 3202 samples: 2504 unrelated samples from phase three panel + 698 samples from 602 family trios - dataset details - real-time access to 138 044 723 unique variants and ~442 billion individual genotypes - variant, sample and genotype selection based
A Model Context Protocol (MCP) server for LeetCode that enables AI assistants to access LeetCode problems, user information, and contest data. - 🚀 Fast access to LeetCode API - 🔍 Search problems, retrieve daily challenges, and check user profiles - 🏆 Query contest data and rankings - 🧩 Full support for MCP tools and resources - 📦 Provides both CLI and programmable API To install mcp-server-le
A Model Context Protocol (MCP) server for TikTok Ads API integration. This server enables AI assistants like Claude to interact with TikTok advertising campaigns, providing comprehensive campaign management, analytics, and optimization capabilities. This project is part of the AdsMCP AI advertising automation platform, an AI-powered platform designed to simplify and automate ad campaign management
An MCP server that executes SQL via ConnectorX and streams the result to CSV or Parquet in PyArrow RecordBatch chunks. Output formats: csv or parquet CSV: UTF-8, header row is always written Parquet: PyArrow defaults; schema mismatch across batches raises an error Return value: the string "OK" on success, or "Error: " on failure On failure the partially written output file is deleted CSV token cou
mcp-name: io.github.wmarceau/hvac-quotes HVAC equipment RFQ (Request for Quote) management via MCP for Claude Desktop. - Submit RFQs to HVAC equipment distributors - Check RFQ status and track responses - Get and compare quotes from multiple distributors - Simulate quotes for testing workflows Add to your claudedesktopconfig.json: Submit a Request for Quote to HVAC distributors. Check the status o
Full documentation is available at buildkite.com/docs/apis/mcp-server. When using many MCP tools, context usage can become significant. The --dynamic-toolsets flag enables Anthropic's Tool Search pattern which marks most tools for on-demand loading. To use this feature: 1. Start the server with the --dynamic-toolsets flag: 2. Enable tool search in Claude Code by setting the environment variable: W
Self-hosted meeting intelligence platform bots • real-time transcription • storage • API • user interface Google Meet • Microsoft Teams • What’s new • Quickstart • Vexa is an open-source, self-hostable API for real-time meeting transcription. It automatically joins
An MCP server that detects potential risks in Solana meme tokens, helping AI agents avoid rug pulls and unsafe projects. - Token Analysis Tool: The analysistoken tool retrieves and processes Solana token data from the Solsniffer API. - Structured Output: Returns detailed token information including name, symbol, Snif score, market cap, price, supply, risks, and audit status. - Python 3.10 or highe
A comprehensive Model Context Protocol (MCP) server for Apache Druid that provides extensive tools, resources, and prompts for managing and analyzing Druid clusters. Developed by iunera - Advanced AI and Data Analytics Solutions This MCP server implements a feature-based architecture where each package represents a distinct functional area of Druid management. The server provides three main types
Welcome to the awesome-ai-research-writing project! This application helps you elevate your AI research writing without the usual hassle. Let’s guide you through the steps to download and run the application smoothly. 1. Visit the Releases page to download your copy of the software. 2. Choose the latest version available. Look for the asset that fits your operating system. 3. Click the download li
MCP Server for Deep Research is a tool designed for conducting comprehensive research on complex topics. It helps you explore questions in depth, find relevant sources, and generate structured research reports. Your personal Research Assistant, turning research questions into comprehensive, well-cited reports. Youtube: https://youtu.be/a7sfo5yxoI 1. Download Claude Desktop - Get it here 2. Install
A Model Context Protocol (MCP) server that automates optimization and analysis using Optuna. The Optuna MCP Server can be used in the following use cases, for example. - Automated hyperparameter optimization by LLMs - Interactive analysis of Optuna's optimization results via chat interface - Optimize input and output of other MCP tools For details, see the Examples section. The Optuna MCP server c
Give Claude Code instant access to your project's institutional knowledge. An MCP server that makes your project documentation instantly accessible in Claude Code through @ mentions. Create a .context/ folder, add your docs, and watch Claude become an expert on your codebase. You're working with Claude Code on a complex project. Claude is smart, but it doesn't know: - Your team's coding convention
An MCP server that tracks and monitors the latest trending tokens on CoinGecko, providing real-time insights into the most popular cryptocurrencies. - Tool: gettrendingmddoc Returns a Markdown document of the full CoinGecko trending page, including a table of trending cryptocurrencies with columns: Rank, Name, Symbol, Price, 1h Change, 24h Change, 7d Change, 24h Volume, Market Cap. - Prompt: parse
An MCP (Model Context Protocol) server that brings live prediction market data into AI coding environments like Cursor and Claude Desktop. - 🆓 No API Keys – Works out of the box, zero configuration - 📈 Multi-Platform – Polymarket, PredictIt, and Kalshi in one interface - ⚡ Real-time Data – Current odds and prices from live markets - 🎯 Easy Setup – One-click install in Cursor or simple manual se
A Model Context Protocol (MCP) server implementation for 4EVERLAND Hosting enabling instant deployment of AI-generated code to decentralized storage networks like Greenfield, IPFS, and Arweave. The 4EVERLAND Hosting MCP Server enables users to leverage AI-driven workflows to deploy code instantly to decentralized storage networks such as Greenfield, IPFS, and Arweave. Upon deployment, it provides
A backend service for executing beeper transactions on Binance Smart Chain (BSC). This service provides a set of tools for interacting with the BSC blockchain, including balance checking, balance transfers, token transfers, token swaps in Pancakeswap and beeper reward claims. - Get BNB and token balances - Transfer BNB and tokens - Swap tokens in Pancakeswap - Get token prices - Buy and sell token
English | 中文 AtomGit MCP 服务器是专门为 AtomGit 开源协作平台的模型上下文(MCP) 服务的实现。提供了一系列方法，允许 AI 管理 AtomGit 开源协作平台的仓库、issues、pull requests、branch、label等。 - nodejs v18.20.2 或者更高版本 - pnpm 10.9.0 - 拥有 AtomGit 账户的访问令牌，获取方式 stdio mode: mcp-server-atomgit 服务器提供了多种与 AtomGit 交互的工具，后续会不断完善： 我们欢迎热爱开源的开发者们的贡献！如果您想为这个项目做出贡献，请按照以下指南操作： 1. 访问仓库https://atomgit.com/atomgit-open-source-ecosystem/atomgit-mcp-server 2. Fork 此仓库 3. 为
Membase is the first decentralized memory layer for AI agents, powered by Unibase. It provides secure, persistent storage for conversation history, interaction records, and knowledge — ensuring agent continuity, personalization, and traceability. The Membase-MCP Server enables seamless integration with the Membase protocol, allowing agents to upload and retrieve memory from the Unibase DA network