@Dadiya-Harsh
Basic information
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
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-suite": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
.env filesPython 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.
Core servers include Web Search Server (Tavily), File Explorer Server, and PostgreSQL Server (sync and async). More servers are planned.
Fork the repository, create a feature branch, add your server or improvements, and submit a pull request. See the Contributing Guidelines for details.
Support is available via the project's documentation, a Discord community, and GitHub Issues.
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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