MCP Server Suite

@Dadiya-Harsh

代码仓库

基本信息

分类

其他

许可证

MIT license

传输方式

stdio

作者

Dadiya-Harsh

关于 MCP Server Suite

A customizable and extensible MCP (Model Context Protocol) servers designed for automation, integration, and AI-powered workflows. Features a modular architecture, easy API integration, and support for creating and managing custom tools and services

#mcp #ai-agents

MCP Server Suite 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-server-suite": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

MCP Server Suite 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is mcp-server-suite?

mcp-server-suite is a comprehensive collection of MCP (Model Context Protocol) servers designed to be the "HuggingFace for automation." It is a community-driven platform where developers can use pre-built servers and contribute their own, making automation and AI-powered workflows accessible to everyone.

How to use mcp-server-suite?

Install using uv pip install mcp-server-suite, set environment variables in a .env file, then run individual servers with commands like python web_search/web_search_sse.py. Import servers via Python, e.g., from mcp_server_suite.web_search import web_search_server.

Key features of mcp-server-suite

Model Context Protocol core for flexible context management
Modular architecture for adding new tools and services
Growing collection of ready-to-use MCP servers
Easy integration with APIs and external systems
Environment variable support via .env files
Community-driven expansion and customization

Use cases of mcp-server-suite

Integrate web search capabilities using the Tavily API
Perform safe file system operations with progress reporting
Execute both sync and async PostgreSQL database operations
Build AI/ML workflows with planned dataset and model servers
Enable non-technical users to access finance, health, and task planning tools

常见问题

What are the prerequisites for running mcp-server-suite?

Python 3.13 or higher and UV (fast Python package installer) are required. Environment variables like `TAVILY_API_KEY`, `DATABASE_URI`, and `ALLOWED_BASE_PATH` may be needed depending on the server.

Which servers are currently available?

Core servers include Web Search Server (Tavily), File Explorer Server, and PostgreSQL Server (sync and async). More servers are planned.

How can I contribute to mcp-server-suite?

Fork the repository, create a feature branch, add your server or improvements, and submit a pull request. See the Contributing Guidelines for details.

Where can I get support or find the community?

Support is available via the project's documentation, a Discord community, and GitHub Issues.

Are there any planned servers for specific roles?

Yes. Planned servers include Dataset Explorer, Model Evaluation, Codebase Q&A, CI/CD Monitor, Health Assistant, Finance Tracker, and many more for AI/ML engineers, software engineers, and non-technical users.

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