Discover Awesome MCP Servers

Deriv API Server

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Example MCP Server + Client Implementation

一个 MCP 服务器（使用虚拟 API）和基本客户端的演示实现。

Meilisearch MCP Server (Go)

一个基于 Go 的 MCP 服务器包装器，用于 Meilisearch，使像 Claude 这样的 LLM 能够通过模型上下文协议访问强大的搜索功能。 (Simplified version, focusing on clarity and common usage:) 用于 Meilisearch 的 Go 语言 MCP 服务器封装，让 Claude 等 LLM 可以通过模型上下文协议使用强大的搜索功能。

Basecamp MCP Integration

一个与 Basecamp 3+ API 交互的 MCP 服务器

Claude-LMStudio Bridge

一个 MCP 服务器，允许 Claude 与在 LM Studio 中运行的本地 LLM 交互，从而可以通过本地模型访问模型列表、生成文本和使用聊天补全功能。

Image Generation MCP Server

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Tutorial: Create an MCP Server in .NET using C#

这是一个非常基础的示例，展示了如何在 .NET 中创建 MCP 服务器。

mcp

用于各种任务的 MCP 服务器集合

OpenDota MCP Server

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Specifai MCP Server

MCP 服务器向任何支持 MCP 的 AI 工具（例如 Hai Build、Cursor）提供 Specifai 项目需求、任务等。

🚀 Model Context Protocol (MCP) Server Python Template 🐍

一个精简的基础框架，用于在 Python 中构建模型上下文协议（Model Context Protocol，MCP）服务器，旨在使 AI 辅助的 MCP 工具的开发更加容易和高效。

Swytchcode MCP server

Swytchcode 加速了 API 集成，使开发者能够使用 Postman 集合或 OpenAPI 规范无缝集成任何 API。借助 Swytchcode，开发者可以获得他们首选编程语言的、可用于生产环境的代码，从而将集成时间缩短高达 90%。 Swytchcode 平台支持为 80 多个 API 生成代码，并能够根据需求添加更多 API。这种简化的方法使开发者能够专注于创新，而不是繁琐的集成任务。 主要特点： API 支持：与 80 多个 API 集成，包括 Stripe、PayPal 和 Shopify 等流行的金融科技服务。 代码生成：生成多种编程语言的代码，确保与各种开发环境的兼容性。 按需添加 API：允许开发者根据需要请求对其他 API 的支持。

Unsplash MCP Server

一个轻量级的服务器，能够与 Unsplash 的图片库无缝集成，让开发者可以直接从 Cursor 编辑器中搜索带有各种滤镜的高质量照片。

Crypto Indicators MCP Server

一个提供各种加密货币技术分析指标和策略的 MCP 服务器。

Freqtrade-MCP

一个与 Freqtrade 加密货币交易机器人集成的 MCP 服务器。

dicom-mcp: A DICOM Model Context Protocol Server

用于与 DICOM 服务器（PACS 等）交互的模型上下文协议 (MCP)。

Model Context Protocol and Fireproof Demo: JSON Document Server

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Mcp Api

MCP 客户端和服务器

MCP Tools

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Script Tool

MCP 服务器用于运行脚本。 (MCP 服务器 to for running script.)

Database MCP Server

一个模型上下文协议服务器，它提供通过统一接口连接和交互各种数据库系统（SQLite、PostgreSQL、MySQL/MariaDB、SQL Server）的工具。

MCP Server: VS Code Extensions Installer

好的，这是将 "MCP tool for automatically installing VS Code extensions in Cursor" 翻译成中文的几种选择，根据不同的侧重点略有不同： **比较直译，强调工具本身：** * **用于在 Cursor 中自动安装 VS Code 扩展的 MCP 工具** **更流畅，强调功能：** * **一个 MCP 工具，用于在 Cursor 中自动安装 VS Code 扩展** **更简洁，突出核心功能：** * **Cursor VS Code 扩展自动安装 MCP 工具** **如果 MCP 是一个专有名词或缩写，并且有对应的中文翻译，应该使用对应的翻译。 例如，如果 MCP 代表 "模块化配置程序"，那么可以翻译成：** * **用于在 Cursor 中自动安装 VS Code 扩展的模块化配置程序** **选择哪个翻译取决于具体的语境和目标受众。** 总的来说，我推荐 **"一个 MCP 工具，用于在 Cursor 中自动安装 VS Code 扩展"**，因为它既流畅又清晰地表达了工具的功能。

MCP-Agg: Multi-Channel Platform Aggregator

聚合 MCP 服务器 (Jùhé MCP fúwùqì)

MCP Harbor

一个 Node.js 应用程序，提供模型上下文协议 (Model Context Protocol) 服务器，用于与 Harbor 容器镜像仓库交互，支持项目、仓库、标签和 Helm Chart 的操作。

LibreChat MCP Servers

Okay, here's a translation of instructions for setting up SuperGateway MCP servers in Docker containers for Docker deployments of LibreChat: **Title: 为 LibreChat Docker 部署设置 Docker 容器中的 SuperGateway MCP 服务器** **Instructions:** This document outlines the steps to set up SuperGateway MCP (Message Control Plane) servers within Docker containers for your LibreChat Docker deployment. This setup allows for improved message routing and management within your LibreChat instance. **步骤 (Bùzhòu - Steps):** 1. **准备 Docker Compose 文件 (Zhǔnbèi Docker Compose Wénjiàn - Prepare the Docker Compose File):** * You will need to modify your existing `docker-compose.yml` file (or create a new one if you don't have one yet). Add a new service definition for each MCP server you want to run. Here's an example: ```yaml version: "3.9" # Or your preferred Docker Compose version services: # ... (Your existing LibreChat services) ... mcp1: image: ghcr.io/daveshapautomator/supergateway:latest # Use the SuperGateway image container_name: mcp1 restart: unless-stopped ports: - "3001:3000" # Map the port (adjust as needed) environment: - NODE_ENV=production - PORT=3000 - MCP_NAME=mcp1 # Unique name for this MCP instance - REDIS_HOST=your_redis_host # Replace with your Redis host - REDIS_PORT=6379 # Replace with your Redis port (default is 6379) - REDIS_PASSWORD=your_redis_password # Replace with your Redis password (if any) - LOG_LEVEL=info # Adjust log level as needed (debug, info, warn, error) # Add any other necessary environment variables for SuperGateway mcp2: image: ghcr.io/daveshapautomator/supergateway:latest container_name: mcp2 restart: unless-stopped ports: - "3002:3000" # Map the port (adjust as needed) environment: - NODE_ENV=production - PORT=3000 - MCP_NAME=mcp2 # Unique name for this MCP instance - REDIS_HOST=your_redis_host # Replace with your Redis host - REDIS_PORT=6379 # Replace with your Redis port (default is 6379) - REDIS_PASSWORD=your_redis_password # Replace with your Redis password (if any) - LOG_LEVEL=info # Adjust log level as needed (debug, info, warn, error) # Add any other necessary environment variables for SuperGateway ``` * **Explanation:** * `version`: Specifies the Docker Compose file version. * `services`: Defines the services to be run. * `mcp1`, `mcp2`: Service names for each MCP instance. Choose descriptive names. * `image`: Specifies the Docker image to use. Use the official SuperGateway image. * `container_name`: Sets the name of the Docker container. * `restart: unless-stopped`: Ensures the container restarts automatically unless explicitly stopped. * `ports`: Maps the container's port (3000 in this example) to a port on the host machine. Make sure these ports are available on your host. **Important:** Each MCP instance needs a *unique* host port. * `environment`: Sets environment variables for the MCP server. **Crucially, you must configure the `REDIS_HOST`, `REDIS_PORT`, and `REDIS_PASSWORD` to match your Redis instance used by LibreChat.** `MCP_NAME` should be unique for each MCP instance. 2. **配置环境变量 (Pèizhì Huánjìng Biànliàng - Configure Environment Variables):** * **`NODE_ENV`**: Set to `production` for a production environment. * **`PORT`**: The port the SuperGateway server listens on *inside* the container. Generally, leave this at `3000`. * **`MCP_NAME`**: A unique name for each MCP instance. This is important for identification and routing. * **`REDIS_HOST`**: The hostname or IP address of your Redis server. This is *critical* for SuperGateway to communicate with Redis. * **`REDIS_PORT`**: The port number of your Redis server (usually 6379). * **`REDIS_PASSWORD`**: The password for your Redis server (if you have one). * **`LOG_LEVEL`**: Controls the verbosity of the logs. Options include `debug`, `info`, `warn`, and `error`. * **Other SuperGateway Configuration**: Consult the SuperGateway documentation for other configurable environment variables. You may need to configure things like API keys or other settings specific to your use case. 3. **启动 Docker Compose (Qǐdòng Docker Compose - Start Docker Compose):** * Navigate to the directory containing your `docker-compose.yml` file in your terminal. * Run the following command to start the services: ```bash docker-compose up -d ``` * `docker-compose up`: Starts the services defined in the `docker-compose.yml` file. * `-d`: Runs the services in detached mode (in the background). 4. **验证 (Yànzhèng - Verification):** * Check the logs of the MCP containers to ensure they started successfully and are connecting to Redis. You can use the following command: ```bash docker logs mcp1 docker logs mcp2 ``` Replace `mcp1` and `mcp2` with the actual names of your MCP containers. Look for any error messages. * Verify that you can access the MCP servers through the ports you mapped in the `docker-compose.yml` file (e.g., `http://your_server_ip:3001`). You might need to configure your firewall to allow access to these ports. The SuperGateway server may have a health check endpoint you can use. 5. **配置 LibreChat (Pèizhì LibreChat - Configure LibreChat):** * You will need to configure LibreChat to use the SuperGateway MCP servers. This typically involves setting environment variables within your LibreChat Docker container. Consult the LibreChat documentation for the specific environment variables required to configure SuperGateway integration. These variables will likely include the addresses (host and port) of your MCP servers. For example: ``` SUPERGATEWAY_URLS=http://your_server_ip:3001,http://your_server_ip:3002 ``` (This is just an example; the actual variable name and format may differ.) * Restart your LibreChat container after making these configuration changes. **重要提示 (Zhòngyào Tíshì - Important Notes):** * **Redis Configuration:** Double-check your Redis configuration. Incorrect Redis settings are a common cause of problems. * **Port Conflicts:** Ensure that the ports you are mapping in your `docker-compose.yml` file are not already in use on your host machine. * **Firewall:** Make sure your firewall allows traffic to the ports you are using for the MCP servers. * **SuperGateway Documentation:** Refer to the official SuperGateway documentation for the most up-to-date information and configuration options. * **LibreChat Documentation:** Refer to the official LibreChat documentation for instructions on how to integrate with SuperGateway. * **Scaling:** You can add more MCP servers by adding more service definitions to your `docker-compose.yml` file. Remember to give each server a unique name and port. * **Security:** Consider security implications, especially if your Redis server is exposed to the internet. Use strong passwords and consider using TLS encryption for Redis connections. This translation provides a comprehensive guide to setting up SuperGateway MCP servers in Docker containers for LibreChat. Remember to consult the official documentation for both SuperGateway and LibreChat for the most accurate and up-to-date information. Good luck!

Venice AI Image Generator MCP Server

测试 MCP 服务器功能，威尼斯和双子座（图像）。