Back to MCP directory
publicPublicdnsLocal runtime

paperpal

MCP扩展程序为大型语言模型(LLMs)提供对arXiv和Hugging Face论文的访问,使用户能够通过自然对话讨论论文、搜索新研究和组织文献综述。

article

README

paperpal

MCP Extension to aid you in searching and writing literature reviews

Check out this conversation with Claude to see what it can do

How it works

paperpal gives your LLMs access to arxiv and Hugging Face papers. You can then have a natural conversation with your favourite LLMs (e.g. Claude) and have it guide you.

You can:

  • Discuss papers
  • Look for new papers
  • Organize ideas for liteature reviews
  • etc.

Of course, this tool is as good as the sum of its parts. LLMs can still hallucinate, and semantic search is never perfect.

Quickstart

There are many different ways with which you can interact with an MCP server.

Claude Desktop App

If this is your first time using an MCP server for Claude Desktop App, see https://modelcontextprotocol.io/quickstart/user

First, clone this repository locally:

git clone https://github.com/jerpint/paperpal

Next, add the extension to your app. Open your configuration file (on macOS this should be ~/Library/Application Support/Claude/claude_desktop_config.json) and and add the following to the extension:

For example on MacOS:

{
  "mcpServers": {
    "paperpal": {
      "command": "uv",
      "args": [
        "--directory",
        "/Users/<username>/paperpal",
        "run",
        "paperpal.py"
      ]
    }
  }
}

Restart your Claude Desktop App and you should see it appear.

Cursor

If this is your first time using an MCP server for Cursor, see https://docs.cursor.com/context/model-context-protocol#remote-development

First, clone this repository locally:

git clone https://github.com/jerpint/paperpal

Add this to the root of the project in a .cursor/mcp.json file:

{
  "mcpServers": {
    "paperpal": {
      "command": "/Users/jeremypinto/.cargo/bin/uv",
      "args": [
        "--directory",
        "/Users/jeremypinto/paperpal",
        "run",
        "paperpal.py"
      ]
    }
  }
}
help

Runtime guide

cloud

Hosted runtime

Hosted servers run from a provider-managed environment. You usually connect the MCP client to the hosted endpoint or follow the provider's authorization flow, without keeping a local process alive

  1. Open provider connection page
  2. Authorize or copy endpoint
  3. Connect from your MCP client
terminal

Local runtime / other methods

Local servers run on your own machine or infrastructure. You normally copy the server_config into your MCP client, install the required package, and provide env variables from env_schema when needed

  1. Copy server_config
  2. Install required package
  3. Fill env variables and restart client