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MCP.science: Open Source MCP Servers for Scientific Research

@pathintegral-institute

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基本情報

カテゴリ

データと分析

ライセンス

MIT

トランスポート

stdio

作者

pathintegral-institute

MCP.science: Open Source MCP Servers for Scientific Research について

Open Source MCP Servers for Scientific Research

MCP.science: Open Source MCP Servers for Scientific Research の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp.science": {
      "command": "uvx",
      "args": [
        "mcp-science",
        "web-fetch"
      ]
    }
  }
}

MCP.science: Open Source MCP Servers for Scientific Research のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is MCP.science?

MCP.science is an open-source collection of MCP (Model Context Protocol) servers designed for scientific research. It enables AI models like Claude to interact with scientific data, tools, and resources through a standardized protocol.

How to use MCP.science?

Install the uv tool and an MCP-enabled client (e.g., Claude Desktop). Launch any server with uvx mcp-science <server-name>. Configure the command in your client’s settings (e.g., JSON config for Claude Desktop). A step-by-step guide is available in the repository.

Key features of MCP.science

  • Open source MCP servers for scientific research
  • Easy launch with uvx mcp-science <server-name>
  • Includes servers for materials, web, Python, SSH, and more
  • Supports multiple MCP‑enabled clients (Claude Desktop, VSCode, Goose, 5ire)
  • Active community contributions under MIT license

Use cases of MCP.science

  • Search and visualize materials‑science data from the Materials Project database
  • Execute Python code in a sandboxed environment for safe analysis
  • Fetch and summarise web content (HTML, PDF, plain text)
  • Run pre‑validated commands on remote machines over SSH
  • Perform density‑functional‑theory calculations with GPAW

よくある質問

1

What is MCP?

MCP (Model Context Protocol) is an open standard that connects AI models to data sources and tools, acting like a USB-C port for AI applications. It provides a growing list of pre‑built integrations and best practices for data security.

2

How do I install and launch a server?

First install `uv` from astral.sh/uv. Then run `uvx mcp-science <server-name>` in your terminal. The command downloads and executes the server automatically.

3

Do any servers require API keys?

Yes. The Materials Project server and the TXYZ Search server each require a specific API key. Other servers (e.g., Web Fetch, Python Code Execution) work without one.

4

What clients are supported?

MCP.science works with any MCP‑enabled client, including Claude Desktop, VSCode, Goose, and 5ire. Configure the server command in the client’s settings.

5

How can I contribute to this project?

Fork the repository, create a feature branch,

コメント

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