Discover Awesome MCP Servers

TeamCity MCP Server

Enables AI coding assistants to interact with JetBrains TeamCity CI/CD server through natural language commands. Supports triggering builds, monitoring status, analyzing test failures, and managing build configurations directly from development environments.

SRT Translation MCP Server

Enables processing and translating SRT subtitle files with intelligent conversation detection and context preservation. Supports parsing, validation, chunking of large files, and translation while maintaining precise timing and HTML formatting.

Speikzeug

用于自动化数据处理和系统匿名化的，集成了 MCP 服务器的现代化工具集。

Cloudera Iceberg MCP Server (via Impala)

通过 Impala 使用 Cloudera Iceberg MCP 服务器

MCP-Gateway

MCP-Gateway 是一项服务，它提供 MCP 服务器的统一管理能力，帮助 AI 代理快速连接到各种数据源。通过 MCP 服务器，AI 代理可以轻松访问数据库、REST API 和其他外部服务，而无需担心具体的连接细节。

Things MCP Server

Integrates with Things 3 task management app on macOS via URL schemes, enabling creation, updating, deletion of todos and projects, navigation, search, and JSON batch imports.

Futurama Quote Machine MCP Server

Enables interaction with Futurama quotes through Claude Desktop by connecting to the Futurama Quote Machine API. Supports getting random quotes, searching by character, adding new quotes, editing existing ones, and managing the quote collection through natural language.

Hong Kong Creative Goods Trade MCP Server

Provides access to Hong Kong's recreation, sports, and cultural data through a FastMCP interface, allowing users to retrieve statistics on creative goods trade including domestic exports, re-exports, and imports with optional year filtering.

Sequential Thinking Tool API

A Node.js/TypeScript backend for managing sequential thinking sessions, allowing users to create sessions and post thoughts in a structured sequence with support for real-time updates via Server-Sent Events.

MCP Documentation Server

Enables semantic search and retrieval of MCP (Model Context Protocol) documentation using Redis-backed embeddings, allowing users to query and access documentation content through natural language.

Kubernetes MCP Server

Enables managing Kubernetes clusters through natural language by providing tools to list resources, view logs, port-forward services, scale deployments, and execute kubectl operations via AI assistants.

Trusted GMail MCP Server

在 AWS Nitro Enclave 可信执行环境中运行的首个可信 MCP 服务器

DataForSEO MCP Server

一个基于标准输入输出流（stdio）的服务器，它通过模型上下文协议（Model Context Protocol）实现与 DataForSEO API 的交互，允许用户获取 SEO 数据，包括搜索结果、关键词数据、反向链接、页面优化分析等。

MCP Iceberg Catalog

用于与 Apache Iceberg 目录交互的 MCP 服务器，允许通过 LLM 提示进行数据湖发现和元数据搜索。

GitHub MCP Server in Go

一个非官方的 Go 语言实现的 GitHub MCP 服务器。在 Metoro 内部使用。

Firelinks MCP Server

Enables interaction with the Firelinks link shortening platform to create and manage short links, track click statistics, manage custom domains, and compare analytics periods through natural language.

Mood Playlist MCP Server

Generates personalized music playlists based on mood analysis using AI sentiment detection and emoji understanding. Integrates with Last.fm API to create playlists with multi-language support and provides streaming links for Spotify, Apple Music, and YouTube.

HPE OneView MCP Server

Enables AI agents to manage HPE OneView infrastructure through the REST API, including server hardware operations, power control, profile management, and network/storage configuration.

Solana MCP Wallet Agent API

Provides complete wallet management functionality for Solana blockchain, enabling users to create wallets, transfer SOL, and work with SPL tokens through a RESTful API.

Echo MCP Server

Okay, here's a basic outline and code example for a Model Context Protocol (MCP) server implementing an echo service using .NET Core. Since MCP isn't a widely standardized protocol, I'll make some assumptions about its structure. I'll assume it's a text-based protocol where messages are delimited by a newline character (`\n`). You'll likely need to adapt this to your specific MCP definition. **Conceptual Overview** 1. **Server Setup:** Create a TCP listener to accept incoming connections. 2. **Connection Handling:** For each connection, create a new thread or task to handle it concurrently. 3. **Receive Data:** Read data from the client socket. 4. **Parse MCP Message:** Parse the received data according to your MCP specification. In this simple echo example, we'll just treat the entire line as the message. 5. **Echo Response:** Send the received message back to the client. 6. **Close Connection:** Close the socket when the client disconnects or an error occurs. **Code Example (.NET Core)** ```csharp using System; using System.Net; using System.Net.Sockets; using System.Text; using System.Threading.Tasks; namespace McpEchoServer { class Program { private static int _port = 12345; // Change this to your desired port private static IPAddress _ipAddress = IPAddress.Any; // Listen on all interfaces static async Task Main(string[] args) { TcpListener listener = null; try { listener = new TcpListener(_ipAddress, _port); listener.Start(); Console.WriteLine($"MCP Echo Server started on {_ipAddress}:{_port}"); while (true) { TcpClient client = await listener.AcceptTcpClientAsync(); Console.WriteLine($"Accepted new client: {client.Client.RemoteEndPoint}"); _ = HandleClientAsync(client); // Fire and forget - handle client in a separate task } } catch (Exception e) { Console.WriteLine($"An error occurred: {e}"); } finally { listener?.Stop(); } Console.WriteLine("Server stopped."); } static async Task HandleClientAsync(TcpClient client) { try { using (NetworkStream stream = client.GetStream()) using (var reader = new System.IO.StreamReader(stream, Encoding.UTF8)) using (var writer = new System.IO.StreamWriter(stream, Encoding.UTF8) { AutoFlush = true }) // AutoFlush ensures data is sent immediately { string message; while ((message = await reader.ReadLineAsync()) != null) { Console.WriteLine($"Received: {message} from {client.Client.RemoteEndPoint}"); // Echo the message back await writer.WriteLineAsync(message); Console.WriteLine($"Sent: {message} to {client.Client.RemoteEndPoint}"); } Console.WriteLine($"Client disconnected: {client.Client.RemoteEndPoint}"); } } catch (Exception e) { Console.WriteLine($"Error handling client {client.Client.RemoteEndPoint}: {e}"); } finally { client.Close(); } } } } ``` **How to Use:** 1. **Create a new .NET Core Console Application:** In Visual Studio or using the .NET CLI (`dotnet new console`). 2. **Replace the `Program.cs` content:** Paste the code above into your `Program.cs` file. 3. **Adjust the Port:** Change the `_port` variable to the port you want the server to listen on. 4. **Run the Server:** Build and run the application. You should see the "MCP Echo Server started" message. **Client Example (Simple Telnet or Netcat)** You can test this server using a simple Telnet client or Netcat. * **Telnet:** Open a command prompt or terminal and type: `telnet localhost 12345` (replace `12345` with your port). Then type some text and press Enter. You should see the same text echoed back. * **Netcat (nc):** `nc localhost 12345`. Type some text and press Enter. **Explanation:** * **`TcpListener`:** Listens for incoming TCP connections on the specified IP address and port. * **`AcceptTcpClientAsync()`:** Asynchronously accepts a pending connection request. This returns a `TcpClient` object representing the connected client. * **`HandleClientAsync()`:** This `async` method handles the communication with a single client. It's launched as a separate task using `_ = HandleClientAsync(client);` so that the server can handle multiple clients concurrently. * **`NetworkStream`:** Provides access to the underlying network stream of the `TcpClient`. * **`StreamReader` and `StreamWriter`:** Used for reading and writing text data to the stream. `StreamReader.ReadLineAsync()` reads a line of text from the stream asynchronously. `StreamWriter.WriteLineAsync()` writes a line of text to the stream asynchronously. `AutoFlush = true` ensures that data is sent immediately. * **`Encoding.UTF8`:** Specifies the character encoding to use for reading and writing text. * **`client.Close()`:** Closes the connection to the client. * **Error Handling:** The `try...catch...finally` blocks provide basic error handling. **Important Considerations and Improvements:** * **MCP Specification:** This example assumes a very simple MCP protocol. You'll need to adapt the parsing and message handling logic to match your actual MCP specification. This might involve parsing headers, message types, data lengths, etc. * **Error Handling:** The error handling is basic. You should add more robust error handling to catch exceptions and handle them gracefully. Consider logging errors. * **Threading/Task Management:** The `_ = HandleClientAsync(client);` approach is a simple way to launch a task, but for a production server, you might want to use a more sophisticated task management strategy (e.g., using a `TaskScheduler` or a thread pool) to control the number of concurrent tasks. * **Security:** This example is not secure. If you're transmitting sensitive data, you should use TLS/SSL to encrypt the connection. * **Message Framing:** If your MCP protocol doesn't use newline characters as delimiters, you'll need to implement a different message framing mechanism (e.g., using a fixed-length header that specifies the message length). * **Asynchronous Operations:** The use of `async` and `await` makes the server more scalable by allowing it to handle multiple clients concurrently without blocking threads. * **Logging:** Implement a logging mechanism to record server events, errors, and client interactions. This is crucial for debugging and monitoring. * **Configuration:** Externalize configuration settings (e.g., port number, IP address) into a configuration file. **Chinese Translation of Key Concepts:** * **Model Context Protocol (MCP):** 模型上下文协议 (Móxíng shàngxiàwén xiéyì) * **Echo Service:** 回显服务 (Huíxiǎn fúwù) * **.NET Core:** .NET Core * **TCP Listener:** TCP 监听器 (TCP jiāntīng qì) * **Socket:** 套接字 (Tàojiēzì) * **Network Stream:** 网络流 (Wǎngluò liú) * **Asynchronous:** 异步 (Yìbù) * **Thread:** 线程 (Xiànchéng) * **Task:** 任务 (Rènwù) * **Client:** 客户端 (Kèhùduān) * **Server:** 服务器 (Fúwùqì) * **Port:** 端口 (Duānkǒu) * **IP Address:** IP 地址 (IP dìzhǐ) * **Encoding:** 编码 (Biānmǎ) * **Message:** 消息 (Xiāoxī) * **Delimiter:** 分隔符 (Fēngéfú) This comprehensive example should give you a good starting point for building your MCP echo server in .NET Core. Remember to adapt the code to your specific MCP protocol requirements. Good luck!

Tempo Filler MCP Server

A Model Context Protocol server enabling AI assistants to interact with Tempo's time tracking system in JIRA for worklog retrieval, creation, and management.

GitHub MCP Server

一个使用 TypeScript 和 Express 构建的、带有 SSE 传输的 GitHub MCP 服务器

Trendy Post MCP

Enables users to take screenshots, extract text using OCR, and automatically generate trending Xiaohongshu-style social media posts. Combines image processing with AI-powered content generation to create engaging posts with hashtags and titles.

Rierino

使用微服务架构进行低代码 MCP 中间件开发，以实现可扩展和自动化的 MCP 服务器功能。