Paperpal
PaperPal is an MCP extension tool designed to help users search for and write literature reviews, discuss papers, find new papers, and organize literature ideas through natural conversations with LLMs (such as Claude).
2.5 points
6.3K

What is PaperPal?

PaperPal is an extension tool based on the Model Context Protocol (MCP), designed to assist you in searching, discussing, and organizing academic literature by accessing databases such as ArXiv and Hugging Face Papers. It enables your AI model to better understand and process academic content.

How to use PaperPal?

First, you need to install and configure your MCP server, and then interact with the AI model through natural language conversations. For example, you can ask about research papers on specific topics or request to generate abstracts of literature reviews.

Applicable Scenarios

Suitable for students, researchers, and professionals who need to quickly find the latest research results, write high - quality literature reviews, or conduct academic research.

Main Features

Access to Academic Resources
Connect directly to authoritative academic resource libraries such as ArXiv and Hugging Face Papers.
Natural Language Interaction
Allow users to ask complex questions in natural language and get accurate answers.
Literature Organization
Help users efficiently organize and summarize a large amount of literature information.
Advantages
Improve the efficiency of literature retrieval
Support cross - domain knowledge integration
Limitations
There may be some semantic search errors
The coverage of some specific fields may be limited

How to Use

Install PaperPal
Clone the PaperPal repository to your local computer and ensure that the necessary dependencies are installed.
Configure the MCP Server
Edit the corresponding configuration file according to the operating system and add the PaperPal extension.
Start and Test
Restart your MCP client and check if the PaperPal extension is successfully loaded.

Usage Examples

Case Title: Find papers related to reinforcement learning
The user wants to know the latest research trends in reinforcement learning.
Case Title: Write a literature review
The user needs to write a literature review on the ethics of artificial intelligence.

Frequently Asked Questions

Which databases does PaperPal support?
What should I do if the search results are inaccurate?

Related Resources

PaperPal Official Documentation
Detailed installation guide and usage instructions.
Claude Desktop App
A desktop application supporting the MCP protocol.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
8.2K
5 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
7.9K
5 points
S
Shadcn Ui MCP Server
An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.
TypeScript
12.2K
5 points
A
Apple Health MCP
An MCP server for querying Apple Health data via SQL, implemented based on DuckDB for efficient analysis, supporting natural language queries and automatic report generation.
TypeScript
10.7K
4.5 points
A
Annas MCP
The MCP server and CLI tool of Anna's Archive are used to search for and download documents on the platform and support access through an API key.
Go
6.7K
4.5 points
M
MCP Server Airbnb
Certified
MCP service for Airbnb listing search and details query
TypeScript
13.6K
4 points
M
MCP Server Weread
The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.
TypeScript
13.2K
4 points
M
MCP Youtube
Download YouTube subtitles via yt - dlp and connect to Claude.ai through the MCP protocol for video content analysis
TypeScript
11.0K
4 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
16.6K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
14.8K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
23.6K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
45.0K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
19.2K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
44.5K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
30.3K
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
62.9K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase