mcp-server-medRixv

Name: mcp-server-medRixv
Author: JackKuo666

@JackKuo666

代码仓库

关于 mcp-server-medRixv

🔍 Enable AI assistants to search and access medRxiv papers through a simple MCP interface.

#mathgpt #math-solver #math-assistant

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

JackKuo666

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-medRixv": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli@latest",
        "install",
        "@JackKuo666/medrxiv-mcp-server",
        "--client",
        "claude",
        "--config",
        "{}"
      ]
    }
  }
}

工具

未检测到工具

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-medRixv?

mcp-server-medRixv is a Model Context Protocol (MCP) server that bridges AI assistants with medRxiv’s health sciences preprint repository. It allows AI models to programmatically search for preprints, retrieve detailed metadata, and access paper content.

How to use mcp-server-medRixv?

Install via Smithery (npx -y @smithery/cli@latest install @JackKuo666/medrxiv-mcp-server --client claude) or manually with uv tool install medRxiv-mcp-server. Start the server by running python medrxiv_server.py. Configure it in Claude Desktop’s claude_desktop_config.json using the provided JSON snippet for your OS.

Key features of mcp-server-medRixv

Search medRxiv papers by keywords or advanced parameters
Retrieve detailed metadata using a DOI
Download and read paper content (planned features)
List all locally downloaded papers (planned)
Specialized research prompts for paper analysis
Local storage of retrieved papers for faster access

Use cases of mcp-server-medRixv

Searching for recent health sciences preprints on a topic
Performing advanced searches with filters (author, date range, etc.)
Fetching full metadata (abstract, authors, publication date) for a specific DOI
Using AI assistants to assist with literature review and research analysis

FAQ from mcp-server-medRixv

What tools does mcp-server-medRixv provide?

It provides three tools: search_medrxiv_key_words for keyword searches, search_medrxiv_advanced for parameterised searches, and get_medrxiv_metadata for fetching metadata via DOI.