MCP.science: Open Source MCP Servers for Scientific Research 🔍📚

Name: MCP.science: Open Source MCP Servers for Scientific Research 🔍📚
Author: pathintegral-institute

@pathintegral-institute

リポジトリホームページ

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

Open Source MCP Servers for Scientific Research

基本情報

カテゴリ

データと分析

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

pathintegral-institute

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"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

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

FAQ from MCP.science

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.

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.

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.

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.

How can I contribute to this project?

Fork the repository, create a feature branch,

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