
paperpal
MCP Extension that gives LLMs access to arXiv and Hugging Face papers, enabling users to discuss papers, search for new research, and organize literature reviews through natural conversation.
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"
]
}
}
}
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.