MCP (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.
1042 servers
A headless, zero-UI data transformation service that converts between 67+ format pairs including aviation weather formats. Discovered by AI agents via MCP, Google A2A, and OpenAPI. Paid via x402 (USDC stablecoin) — first 100 requests free. Live endpoint: https://transform-agent-lingering-surf-8155.fly.dev Purpose-built for aviation AI agents and flight planning workflows. Parses raw aviation weath
MCP server for Naver Search API and DataLab API integration, enabling comprehensive search across various Naver services and data trend analysis. You can use this server immediately without API keys through Kakao PlayMCP. Simply visit the link and start using it right away! - findcategory: Category search tool so you no longer need to manually check category numbers in URLs for trend and shopping
ScrapeBadger MCP Server Give your AI agents access to Twitter/X data via the Model Context Protocol ScrapeBadger MCP Server is a Model Context Protocol (MCP) server that enables AI assistants like Claude, ChatGPT, Cursor, Windsurf, and other MCP-compatible clients to access Twitter/X data through the ScrapeBadger API. With this MCP server, your AI can: - Get Twitter user profiles, followers, and f
The Mermaid MCP Server enables AI assistants like GitHub Copilot, Claude, and custom LLM applications to generate professional architecture diagrams, flowcharts, sequence diagrams, and more using natural language. It provides a Model Context Protocol interface for seamless integration with AI coding assistants. - 🤖 AI-Powered Generation: Create diagrams using natural language with GitHub Copilot
Cal Server 是一个基于 FastMCP 框架构建的简单数学表达式计算服务，使用 Bun 运行时环境。它利用 expr-eval 库解析和计算用户输入的数学表达式，并通过标准输入输出（stdio）与外界交互。该项目旨在提供一个轻量、高效的计算工具，支持基本数学运算和内置常量。 - 表达式计算：支持用户输入数学表达式并返回计算结果。 - E：Bun 环境中的 Math.E。 - PI：Bun 环境中的 Math.PI。 - true：逻辑真值。 - false：逻辑假值。 - 工具名称：cal。 - 参数：接受一个字符串类型的数学表达式（exp）。 - fastmcp：用于构建 MCP 服务。 - expr-eval：用于解析和计算数学表达式。 - zod：用于参数验证。 - 确保已安装 Bun 运行时（推荐最新版本）。 To install cal-mcp for Claude D
A Model Context Protocol (MCP) server and command-line interface for Apollo.io. This package provides: - MCP Server: Integrates Apollo.io with Claude Desktop for conversational access to B2B data - CLI Tool: Command-line interface for direct API access via terminal Both tools provide access to Apollo's comprehensive B2B database for people and company search, enrichment, and insights. - Apollo.io
Record, replay, and verify Model Context Protocol interactions for deterministic testing. MCP servers break silently. Tool schemas change, prompts drift, responses shift. Without wire-level regression tests, you find out from your users. mcp-recorder captures the full protocol exchange into a cassette file and lets you test from both sides. Try it right now — a scenarios.yml and a public demo serv
A Model Context Protocol (MCP) server implementation for running Locust load tests. This server enables seamless integration of Locust load testing capabilities with AI-powered development environments. - Simple integration with Model Context Protocol framework - Support for headless and UI modes - Configurable test parameters (users, spawn rate, runtime) - Easy-to-use API for running Locust load
Your comprehensive Sonos control companion powered by the Model Context Protocol (MCP). This intelligent server provides seamless access to Sonos audio devices over your local network using UPnP/SOAP protocols. Whether you're controlling playback, managing zones, browsing your music library, or setting up alarms, this MCP server delivers complete device control directly to your AI assistant, enabl
Outlook Assistant MCP server for Outlook email, calendar, and contacts — let your AI assistant manage your inbox directly from the conversation. Outlook Assistant connects AI assistants to your Microsoft Outlook account through the Model Context Protocol. Ask your AI assistant to search your inbox, send emails, schedule meetings, manage contacts, and configure mailbox settings — without leaving th
Alibaba Cloud Ops MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Alibaba Cloud APIs, enabling AI assistants to operate resources on Alibaba Cloud, supporting ECS, Cloud Monitor, OOS, OSS, VPC, RDS and other widely used cloud products. It also enables AI assistants to analyze, build, and deploy applications to Alibaba Cloud ECS instances. Smithery AI FC-
A Model Context Protocol (MCP) server that provides hourly and daily weather forecasts using the AccuWeather API. You need an AccuWeather API key (free tier available). Sign up here and create an app to get your key. Export your API key as an environment variable: Then run the MCP Weather server directly with: Or, for HTTP/REST access via supergateway: For integration with Claude Desktop or other
The dicom-mcp server enables AI assistants to query, read, and move data on DICOM servers (PACS, VNA, etc.). 🤝 Contribute • 📝 Report Bug • 📝 Blog Post 1 dicom-mcp provides tools to: 🔍 Query Metadata: Search for patients, studies, series, and instances using various criteria. 📄 Read DICOM Reports (PDF): Retrieve DICOM instances containing encapsulated PDFs (e.g., clinical reports) and extract
MCP server implementation for TiDB (serverless) database. - uv (Python package installer) Go tidbcloud.com to create a free TiDB database cluster Configuration can be provided through environment variables, or using .env: - TIDBHOST - TiDB host address, e.g. 'gateway01.us-east-1.prod.aws.tidbcloud.com' - TIDBPORT - TiDB port (default: 4000) - TIDBUSERNAME - Database username, e.g. 'xxxxxxxxxx.\ '
This MCP (Model Context Protocol) server provides AIs with tools to interact with your OpsLevel account. Currently, the MCP server only uses read-only access to your OpsLevel account and can read data from the following resources: - Campaigns - Components - Component Dependencies (components that a component depends on) - Component Dependents (components that depend on a component) - Documentation
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This server provides cloud browser automation capabilities using Browse
An MCP (Model Context Protocol) server that integrates BugHerd bug tracking with AI assistants. Complete BugHerd API v2 coverage with 38 tools across all resource types: - Organization - Get account details - Users - List members, guests, user tasks and projects - Projects - CRUD operations, manage members and guests - Tasks - Full task management including feedback, archived, and taskboard views
MCP server for Offorte - Create & send proposals using AI. This server acts as the bridge between AI agents and Offorte's proposal engine. It enables external models to create and send proposals via Offorte. Built for automation workflows, the MCP makes it easy to integrate proposal actions into AI tools, chat interfaces, and autonomous systems. - About Offorte - Goals \& Coverage - Prerequisites
A Model Context Protocol (MCP) server interface to Catalysis Hub's GraphQL API, enabling programmatic access to catalysis research data through flexible GraphQL queries. - Direct GraphQL Access: Execute any valid GraphQL query against Catalysis Hub's API - Comprehensive Data Access: - Catalytic reactions (equations, conditions, catalysts) - Material systems (structures, properties, descriptors) -
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
mcp-page-capture is a Model Context Protocol (MCP) server that orchestrates headless Chromium via Puppeteer to capture pixel-perfect screenshots of arbitrary URLs. It is optimized for Copilot/MCP-enabled environments and can be embedded into automated workflows or run as a standalone developer tool. - 📸 High-fidelity screenshots powered by Puppeteer and headless Chromium - ⚙️ LLM-optimized schema
Read your local Apple Notes database and provide it to Claude Desktop. Now Claude can search your most forgotten notes and know even more about you. Noting could go wrong. The server implements the ability to read and write to your Apple Notes. The server provides multiple prompts: - get-all-notes: Get all notes. - read-note: Get full content of a specific note. - search-notes: Search through note
English Version 一个用于与语雀 API 集成的 Model-Context-Protocol (MCP) 服务器。此实现受 Figma-Context-MCP 的启发，并使用 语雀开放 API。 该服务器提供了与语雀知识库平台交互的 MCP 工具，允许 AI 模型： - 获取用户和文档信息 - 创建、读取、更新和删除文档 - 获取统计数据和分析信息 要使用 Smithery 将 Yuque MCP Server 自动安装到 Claude 桌面端： - Node.js 18+ (推荐) - 拥有 API 令牌的语雀账号 3. 基于 .env.example 创建 .env 文件： 4. (可选) 在 .env 文件中添加你的语雀 API 令牌： 你也可以选择在连接到服务器时通过查询参数提供令牌，而不是在 .env 文件中设置。 然后在 HTTP 或 CLI 模式下运行： 本项
An MCP server that gives AI agents fast access to verified EVM chain information, including RPC URLs, chain IDs, explorers, and native tokens — sourced from Chainlist.org. - Efficient Data Fetching: Caches Chainlist API data to minimize requests. - Flexible Search: Case-insensitive keyword matching using regex for getChainsByKeyword. - Structured Output: Markdown responses with tabulated rpc and e