Discover Awesome MCP Servers

Cloudflare Remote MCP Server Template

Enables the deployment of remote Model Context Protocol servers on Cloudflare Workers without authentication. It allows users to host custom tools and connect them to AI clients using Server-Sent Events (SSE).

Figma MCP Server

一个 TypeScript 服务器，实现了模型上下文协议 (Model Context Protocol)，从而可以使用自然语言提示，通过 Cursor Agent 在 Figma 中实现 AI 驱动的设计创作。

mcp-agent-opt

Provides code-aware context compression by stripping comments, docstrings, and whitespace while maintaining full logic fidelity for AI agents. It features tools for architectural mapping, symbol searching, and token-budgeted multi-file reading.

ascript-mcp

Enables AI programming tools to query AScript API documentation and control real Android/iOS devices for automation scripting, including device interaction, development deployment, and file management.

quanttogo-mcp-servers

MCP servers for quantitative trading: live trading signals, market data, NAV history, portfolio management with dual-track (AUTO/MANUAL) performance comparison. Supports both stdio and Streamable HTTP transport.

Viraly MCP Server

A thin MCP proxy that connects LLM clients like Claude and ChatGPT to Viraly's platform API, enabling AI agents to perform actions via natural language.

ORKL MCP Server

ORKL 威胁情报库的 MCP 服务器

agentline-mcp

Gives AI agents phone numbers, email, SMS, and voice calls as MCP tools, enabling them to provision numbers, capture 2FA codes, send messages, and make calls.

KiteMCP

A command-based MCP server that enables programmatic stock trading on Zerodha through natural language interfaces like Claude, allowing users to buy and sell stocks via API calls.

PDF Knowledgebase MCP Server

A Model Context Protocol server that enables intelligent document search and retrieval from PDF collections, providing semantic search capabilities powered by OpenAI embeddings and ChromaDB vector storage.

Commerce-MCP

Enables natural-language control of e-commerce operations including product management, order processing, inventory tracking, customer service, content generation, and advertising analytics through 15 integrated MCP tools. Provides a local-first commerce automation solution with SQLite storage and extensible channel adapters for end-to-end online store workflows.

Composer Trade MCP

Enables AI assistants to create, backtest, and manage automated investment strategies (symphonies) on Composer, including searching through 1000+ existing strategies, monitoring portfolio performance, and executing trades with live market data.

OpenAPI Korea MCP Server

Enables access to Korean public data services through OpenAPI integration. Supports querying government datasets like parking information in Sejong City through natural language interactions.

SmartMoneyOracle

Whale & Institutional Flow MCP Server — 8 tools for protocol TVL flows, alpha signals, stablecoin supply tracking. Part of ToolOracle (tooloracle.io).

Windows Forensics MCP Server

Enables AI-assisted Windows digital forensics analysis including parsing Windows Event Logs (EVTX), analyzing registry hives (SAM, SYSTEM, SOFTWARE), and remotely collecting artifacts via WinRM with built-in security queries and forensic reference data.

Claude MCP File Server

A file management system powered by Claude AI that provides document access and manipulation through MCP protocol and Telegram bot integration, enabling users to interact with files via natural language commands.

MCP Express Server Example

A basic example demonstrating how to develop and run a serverless Model Context Protocol (MCP) implementation using Netlify Functions and Express.

HowToCook-MCP Server

Enables AI assistants to recommend recipes, plan weekly meals, and solve the "what to eat today" problem by providing access to a comprehensive Chinese recipe database with smart filtering by categories, allergies, and dietary restrictions.

asterpay-mcp-server

MCP Server for AsterPay x402 Data API — market data, AI tools, crypto analytics, and utilities accessible to AI agents via Model Context Protocol. 13 pay-per-call endpoints on Base network, $0.001 USDC each. EUR settlement for AI agent commerce.

WhatsApp Business MCP Server

Connects AI agents to the WhatsApp Business Cloud API, allowing them to send messages, manage templates, and retrieve account analytics. It facilitates automated customer interaction and marketing campaign management through the Model Context Protocol.

Strava MCP Server

Integrates with the Strava API to allow AI assistants to access fitness data including athlete profiles, activity history, and segment statistics. It enables users to query detailed performance metrics and explore geographic segment data through natural language commands.

MCP Demo

A demonstration Model Context Protocol server that includes a web-based interface for managing persistent configurations. It provides foundational tools for greeting, echoing input, and retrieving or updating server settings through MCP.

mcp-weather

好的，以下是一個給 AI Agent 使用的 MCP (Message Communication Protocol) Server 範例，用來取得美國各州的天氣預報與警示資訊。 這個範例著重於概念的清晰，實際部署可能需要根據您的具體需求進行調整。 **概念概述:** * **MCP Server:** 負責接收來自 AI Agent 的請求，處理請求，並將結果返回給 AI Agent。 * **AI Agent:** 發送請求到 MCP Server，並解析返回的結果。 * **天氣資料來源:** 使用外部 API (例如 NOAA, OpenWeatherMap) 來獲取天氣資訊。 * **資料格式:** 使用 JSON 作為請求和回應的資料格式，方便 AI Agent 解析。 **MCP Server (Python 範例 - 使用 Flask):** ```python from flask import Flask, request, jsonify import requests import os app = Flask(__name__) # 替換成你的 API 金鑰 (從 NOAA, OpenWeatherMap 等取得) API_KEY = os.environ.get("WEATHER_API_KEY") # 建議使用環境變數 # 預設天氣資料來源 (NOAA) WEATHER_API_URL = "https://api.weather.gov/alerts/active?area={state}" @app.route('/weather', methods=['POST']) def get_weather(): """ 接收來自 AI Agent 的請求，取得指定州的天氣預報和警示資訊。 """ try: data = request.get_json() state = data.get('state') if not state: return jsonify({'error': 'State is required'}), 400 # 呼叫天氣 API url = WEATHER_API_URL.format(state=state.upper()) # NOAA 需要大寫州代碼 response = requests.get(url) if response.status_code == 200: weather_data = response.json() return jsonify(weather_data), 200 else: return jsonify({'error': f'Weather API error: {response.status_code}'}), 500 except Exception as e: print(f"Error: {e}") return jsonify({'error': str(e)}), 500 if __name__ == '__main__': app.run(debug=True, host='0.0.0.0', port=5000) ``` **AI Agent (Python 範例):** ```python import requests import json MCP_SERVER_URL = "http://localhost:5000/weather" # 替換成你的 MCP Server URL def get_state_weather(state): """ 向 MCP Server 發送請求，取得指定州的天氣資訊。 """ try: payload = {'state': state} headers = {'Content-type': 'application/json'} response = requests.post(MCP_SERVER_URL, data=json.dumps(payload), headers=headers) if response.status_code == 200: weather_data = response.json() return weather_data else: print(f"Error: MCP Server error: {response.status_code}") return None except Exception as e: print(f"Error: {e}") return None # 範例用法 state = "CA" # 加州 weather_info = get_state_weather(state) if weather_info: print(f"加州 ({state}) 天氣資訊:") print(json.dumps(weather_info, indent=4, ensure_ascii=False)) # 輸出美觀的 JSON else: print("無法取得天氣資訊。") ``` **說明:** * **MCP Server (Flask):** * 使用 Flask 建立一個簡單的 Web 服務。 * `/weather` 端點接收 POST 請求，請求體包含一個 JSON 物件，其中包含 `state` 欄位 (例如: `{"state": "CA"}`). * 使用 `requests` 庫呼叫外部天氣 API (NOAA 在此範例中)。 * 將天氣 API 的回應以 JSON 格式返回給 AI Agent。 * 錯誤處理：包含基本的錯誤處理，例如檢查 `state` 是否存在，以及處理天氣 API 的錯誤。 * **重要:** 請務必將 `API_KEY` 儲存在環境變數中，而不是直接寫在程式碼中，以確保安全性。 * **AI Agent:** * 使用 `requests` 庫向 MCP Server 發送 POST 請求。 * 將 `state` 作為 JSON payload 發送。 * 解析 MCP Server 返回的 JSON 回應。 * 錯誤處理：包含基本的錯誤處理，例如檢查 MCP Server 的回應狀態碼。 * **JSON 格式:** 請求和回應都使用 JSON 格式，方便 AI Agent 解析和處理。 * **NOAA API:** 此範例使用 NOAA 的 API，但您可以根據需要替換成其他天氣 API。 請注意，不同的 API 可能需要不同的參數和金鑰。 * **錯誤處理:** 範例中包含基本的錯誤處理，但您可能需要根據您的需求添加更完善的錯誤處理機制。 * **安全性:** 在實際部署中，請務必考慮安全性問題，例如驗證 AI Agent 的身份，以及保護 API 金鑰。 **如何執行:** 1. **安裝必要的套件:** ```bash pip install flask requests ``` 2. **設定環境變數:** ```bash export WEATHER_API_KEY="YOUR_API_KEY" # 替換成你的 API 金鑰 ``` 3. **執行 MCP Server:** ```bash python your_mcp_server_file.py ``` 4. **執行 AI Agent:** ```bash python your_ai_agent_file.py ``` **中文翻譯 (概念):** 這個範例展示了一個給 AI 代理使用的 MCP (訊息通訊協定) 伺服器，用於獲取美國各州的天氣預報和警報資訊。 * **MCP 伺服器:** 負責接收來自 AI 代理的請求，處理這些請求，並將結果返回給 AI 代理。 * **AI 代理:** 向 MCP 伺服器發送請求，並解析返回的結果。 * **天氣資料來源:** 使用外部 API (例如 NOAA, OpenWeatherMap) 來獲取天氣資訊。 * **資料格式:** 使用 JSON 作為請求和回應的資料格式，方便 AI 代理解析。 **中文翻譯 (程式碼註解):** 程式碼中的註解已經是中文，所以不需要額外翻譯。 **重要注意事項:** * **API 金鑰:** 請務必使用您自己的 API 金鑰，並將其儲存在環境變數中。 * **錯誤處理:** 根據您的需求，添加更完善的錯誤處理機制。 * **安全性:** 在實際部署中，請考慮安全性問題。 * **API 限制:** 不同的天氣 API 可能有不同的使用限制 (例如請求頻率限制)。 請仔細閱讀 API 的文件。 * **資料格式:** 不同的天氣 API 返回的資料格式可能不同。 您可能需要修改程式碼來解析不同的資料格式。 這個範例提供了一個基本的框架。 您可以根據您的具體需求進行修改和擴展。 例如，您可以添加更多的功能，例如支持不同的天氣 API，或者提供更詳細的天氣資訊。

Roblox MCP

MCP server and plugin for Roblox Studio — control scripts, terrain, assets, and lighting with Claude Code, Cursor, Codex, and Gemini.

Notion MCP Server

Enables AI assistants to search, create, and manage Notion workspace content including pages and databases. It supports advanced database querying, page updates, and content organization through natural language conversations.

CodeWeaver MCP Server

Converts entire codebases into a single, AI-readable Markdown document with structured directory trees and syntax highlighting. It enables AI assistants to analyze complete project contexts for tasks like code reviews, documentation, and refactoring.

pharo-nc-mcp-server

A local MCP server that enables users to evaluate Pharo Smalltalk expressions and retrieve system information via NeoConsole. It provides comprehensive tools for inspecting class definitions, method sources, and system metrics within a Pharo environment.

UniFi MCP Server

Enables comprehensive management of UniFi Network infrastructure through 24 tools for monitoring and controlling devices, clients, wireless networks, security, and guest access. Supports network administration tasks like device restarts, client blocking, WLAN configuration, and backup creation.

mcp-await

Non-blocking awaiter for bash commands. Get your agent rid of timeouts, sleeps, while. Also supports files, ports, etc.