发现优秀的 MCP 服务器

text-to-speech

Enables converting text to speech audio in 20+ languages, returning base64-encoded MP3 output via Google TTS with x402 micropayment-based pay-per-call access.

FL Studio MCP

An MCP server that connects Claude to FL Studio, allowing the AI to send melodies, chords, and drum patterns directly to the DAW via virtual MIDI ports.

FA-Technician-Brain-MCP

Provides structured knowledge about the Technician Portal module in FleetFocus FA/EAM, enabling AI agents to query pages, workflows, APIs, and more without live connections.

MoltJobs MCP Server

Official MCP server for MoltJobs, enabling AI agents to browse and bid on jobs, execute work, submit results, and manage USDC wallets on the marketplace.

Web Search MCP Server

A self-hosted MCP server for web search with multi-engine support, combining search, URL fetching, and deep research along with proxy routing and deduplication.

@cyanheads/socrata-mcp-server

Search and query government open-data portals (Socrata SODA API) via MCP.

Photopea MCP Server

Enables AI agents to perform advanced image editing and graphic design through Photopea, a browser-based Photoshop alternative. Provides 34 tools for document management, layer operations, filters, adjustments, and exports via a WebSocket bridge to the browser.

Model Context Protocol and Fireproof Demo: JSON Document Server

镜子 (jìng zi)

ntfy-mcp

Enables AI agents to send push notifications to your phone through ntfy, with built-in security controls to prevent data exfiltration. It exposes a single tool notify_user for notifying when tasks complete or need attention.

domo-mcp-readonly

A read-only MCP server for the Domo BI platform that allows AI agents to query and list data, datasets, cards, and analytics structures without making any changes.

QGIS MCP Server

Enables AI agents to interact with QGIS, supporting project management, layer inspection, spatial queries, styling, and map export in both headless and desktop modes.

sendblue-browser

MCP server that wraps sendblue-browser-use's HTTP API, providing tools to control a stealth-patched Chromium browser with persistent sessions, navigation, screenshots, and script execution.

CSV Editor

Comprehensive CSV processing MCP server with 40+ operations for data manipulation, analysis, and validation. Features auto-save, undo/redo, and handles GB+ files

Aicon

Enables AI-powered icon search, generation, and download from 275,000+ icons with web-based authentication and subscription plans.

compliance-mcp

An MCP server that exposes SOC2 and HIPAA compliance remediation logic as structured tools for AI agents to call, enabling an LLM-driven workflow to discover, assess, remediate, and report on compliance controls.

Manim MCP Server

镜子 (jìng zi)

@warppay402/warppay402-mcp-tools

Enables AI agents to use pay-per-use web scraping, Base blockchain analytics, and PDF text extraction tools, monetized via x402 USDC micropayments.

commerce-ops-mcp

Enables AI agents to investigate why paid orders have not reached shipment creation and create persistent human-review escalations.

Gemini Email Subject Generator MCP

An MCP server that utilizes Google's Gemini Flash 2 model to generate AI-driven email subjects and detailed reasoning processes. It enables users to send emails via SMTP with dynamic content and save complex brainstorming sessions to local files.

Klever MCP Server

An MCP server for Klever blockchain smart contract development, providing contextual knowledge including code patterns, best practices, and runtime behavior.

Merit MCP

Connects to Merit bookkeeping software

百度图片搜索 MCP Server

基于百度图片搜索API，支持图片搜索、下载及格式转换的MCP服务器。

mcp-servers

待定 (dài dìng)

clevertap-mcp

An MCP server that enables AI assistants to interact with the CleverTap REST API to manage user profiles, events, campaigns, and reports. It supports multi-project configurations and provides tools for data analysis and campaign management through natural language.

mcp-heimdall

Security scanner for MCP servers — vet an MCP before you wire it into an agent. Detects prompt-injection, credential exfiltration (via taint analysis), RCE, and supply-chain risks, and catches cross-server exfil chains no single server reveals. Zero-dependency local CLI, SARIF output, CI-gateable, no account.

apple-mail-mcp

Enables AI assistants to read, send, search, and manage emails in Apple Mail on macOS.

CNBizAPI MCP Server

Enables AI agents to query detailed information on 77M+ Chinese companies, including basic data, shareholders, legal risks, and more, through a pay-per-query MCP server.

hyprland-mcp

Enables AI agents to control a Hyprland Wayland desktop by listing windows, capturing screenshots, and sending input to a dedicated agent workspace without disrupting the user's screen.

Demo MCP Basic

好的，这是 MCP 服务器的 HTTP SSE 演示以及一个客户端： **服务器端 (Python - 使用 Flask):** ```python from flask import Flask, Response, request import time import json app = Flask(__name__) # 模拟 MCP 数据 def generate_mcp_data(): counter = 0 while True: data = { "timestamp": time.time(), "counter": counter, "message": f"MCP Data Update: {counter}" } yield f"data: {json.dumps(data)}\n\n" counter += 1 time.sleep(1) # 每秒更新一次 @app.route('/mcp_stream') def mcp_stream(): return Response(generate_mcp_data(), mimetype="text/event-stream") if __name__ == '__main__': app.run(debug=True, host='0.0.0.0', port=5000) ``` **代码解释:** * **`Flask`:** 使用 Flask 框架创建一个简单的 Web 服务器。 * **`generate_mcp_data()`:** 这是一个生成器函数，它模拟 MCP 数据。 * 它创建一个包含时间戳、计数器和消息的字典。 * 它使用 `yield` 关键字返回一个格式化为 SSE 事件的数据字符串。 `data: {json.dumps(data)}\n\n` 是 SSE 格式的关键。 `data:` 表示数据字段，`\n\n` 表示事件的结束。 * `time.sleep(1)` 模拟数据更新的间隔（这里是每秒一次）。 * **`/mcp_stream` 路由:** * `@app.route('/mcp_stream')` 定义了一个路由，当客户端访问 `/mcp_stream` 时，会调用 `mcp_stream()` 函数。 * `Response(generate_mcp_data(), mimetype="text/event-stream")` 创建一个 HTTP 响应，其中包含 `generate_mcp_data()` 生成的数据流，并将 `mimetype` 设置为 `text/event-stream`。 这是告诉客户端这是一个 SSE 流的关键。 * **`app.run(...)`:** 启动 Flask 服务器。 `host='0.0.0.0'` 允许从任何 IP 地址访问服务器。 **客户端 (JavaScript - HTML):** ```html <!DOCTYPE html> <html> <head> <title>MCP SSE Client</title> </head> <body> <h1>MCP Data Stream</h1> <div id="mcp-data"></div> <script> const eventSource = new EventSource('/mcp_stream'); // 替换为你的服务器地址 eventSource.onmessage = (event) => { const data = JSON.parse(event.data); const mcpDataElement = document.getElementById('mcp-data'); mcpDataElement.innerHTML += `<p>${JSON.stringify(data)}</p>`; }; eventSource.onerror = (error) => { console.error("EventSource failed:", error); eventSource.close(); // 关闭连接，防止无限重试 }; </script> </body> </html> ``` **代码解释:** * **`EventSource`:** `new EventSource('/mcp_stream')` 创建一个 `EventSource` 对象，连接到服务器的 `/mcp_stream` 端点。 确保将 `/mcp_stream` 替换为你的服务器地址（例如 `http://localhost:5000/mcp_stream`）。 * **`onmessage` 事件处理程序:** * `eventSource.onmessage = (event) => { ... }` 定义了一个事件处理程序，当服务器发送新数据时，该处理程序会被调用。 * `event.data` 包含服务器发送的数据。 * `JSON.parse(event.data)` 将 JSON 字符串解析为 JavaScript 对象。 * `document.getElementById('mcp-data')` 获取 HTML 中 `id` 为 `mcp-data` 的元素。 * `mcpDataElement.innerHTML += `<p>${JSON.stringify(data)}</p>`;` 将接收到的数据添加到 HTML 元素中。 * **`onerror` 事件处理程序:** * `eventSource.onerror = (error) => { ... }` 定义了一个事件处理程序，当发生错误时，该处理程序会被调用。 * `console.error("EventSource failed:", error);` 将错误信息输出到控制台。 * `eventSource.close();` 关闭 `EventSource` 连接，防止客户端无限重试连接。 **如何运行:** 1. **保存文件:** 将 Python 代码保存为 `mcp_server.py`，将 HTML 代码保存为 `mcp_client.html`。 2. **安装 Flask:** 在命令行中运行 `pip install flask`。 3. **运行服务器:** 在命令行中运行 `python mcp_server.py`。 4. **打开客户端:** 在浏览器中打开 `mcp_client.html`。 **预期结果:** 你将在浏览器中看到一个标题为 "MCP Data Stream" 的页面，并且页面会不断更新，显示来自服务器的 MCP 数据。 每次服务器发送新数据时，都会在页面上添加一个新的 `<p>` 元素，显示 JSON 格式的数据。 **重要注意事项:** * **CORS (跨域资源共享):** 如果你的客户端和服务器运行在不同的域名或端口上，你可能需要配置 CORS。 你可以使用 Flask 的 `flask_cors` 扩展来处理 CORS。 例如： ```python from flask import Flask, Response from flask_cors import CORS import time import json app = Flask(__name__) CORS(app) # 允许所有来源的跨域请求 # ... (其余代码不变) ``` 然后运行 `pip install flask_cors`。 * **错误处理:** 在实际应用中，你需要更完善的错误处理机制，例如处理连接错误、数据解析错误等。 * **数据格式:** 根据你的实际需求调整 MCP 数据的格式。 * **服务器地址:** 确保客户端中的 `EventSource` 连接到正确的服务器地址。 这个演示提供了一个基本的 MCP 服务器和客户端的框架。你可以根据你的具体需求进行修改和扩展。 希望这个例子能帮助你理解如何使用 HTTP SSE 实现 MCP 服务器。

errorbar

Enables MCP clients to call the platform's full API as individual tools—covering evals, criteria, gates, logs, datasets, aliases, label sets, audit/proving, dedicated endpoints, and training—with validated inputs and raw API responses.