pathintegral-institute/mcp.science

开发工具

本页由 AI 翻译，技术细节请以原文为准。查看原文

156 stars 30 forks 质量 72 趋势 17MIT

Repository Install

pathintegral-institute/mcp.science 是从 https://github.com/pathintegral-institute/mcp.science. 导入的 MCP 服务器候选程序。

概览

pathintegral-institute/mcp.science 是从 https://github.com/pathintegral-institute/mcp.science. 导入的 MCP 服务器候选程序。

概述（AI 翻译）

Join我们用人工智能和开源工具加速科学发现！

快速启动

运行该仓库中的任何服务器只需一个命令即可。例如，启动 web-fetch 服务器：

该命令负责从安装到执行的所有内容。关于配置和寻找其他服务器的更多细节，请参见下方“如何配置 MCP 服务器用于 AI 客户端应用”部分。

关于

该仓库包含一组专为科学研究应用设计的开源MCP服务器。这些服务器使Al模型（如Claude）能够通过标准化协议与科学数据、工具和资源交互。

什么是MCP？

MCP 是一种开放协议，标准化应用程序如何为大型语言模型提供上下文。可以把 MCP 想象成 AI 应用的 USB-C 端口。

本页由 AI 翻译，技术细节请以原文为准。

README

以下为原文 README 节选，完整内容请查看原文。

Quick Start

Running any server in this repository is as simple as a single command. For example, to start the web-fetch server:

uvx mcp-science web-fetch

This command handles everything from installation to execution. For more details on configuration and finding other servers, see the “How to configure MCP servers for AI client apps” section below.

About
What is MCP?
Available servers in this repo
How to integrate MCP servers into LLM
How to build your own MCP server
Contributing
License
Acknowledgments
Citation

About

This repository contains a collection of open source MCP servers specifically designed for scientific research applications. These servers enable Al models (like Claude) to interact with scientific data, tools, and resources through a standardized protocol.

What is MCP?

MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.

MCP helps you build agents and complex workflows on top of LLMs. LLMs frequently need to integrate with data and tools, and MCP provides:

A growing list of pre-built integrations that your LLM can directly plug into

The flexibility to switch between LLM providers and vendors

Best practices for securing your data within your infrastructure

Source: https://modelcontextprotocol.io/introduction

Available servers in this repo

Below is a complete list of the MCP servers that live in this monorepo. Every entry links to the sub-directory that contains the server’s source code and README so that you can find documentation and usage instructions quickly.

Example Server

An example MCP server that demonstrates the minimal pieces required for a server implementation.

Materials Project

A specialised MCP server that enables AI assistants to search, visualise and manipulate materials-science data from the Materials Project database. A Materials Project API key is required.

在 GitHub 查看完整 README

安装

uvx mcp-science web-fetch

新手？先看 mcpskill.org 教程 →

配置

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