Arxiv Search MCP
An MCP server that provides arXiv paper search and retrieval functions
rating : 2.5 points
downloads : 28
What is the arXiv Search MCP Server?
The arXiv Search MCP Server is a tool based on the Model Context Protocol (MCP), designed to help users quickly search for and retrieve academic papers on arXiv.org. It supports filtering by category, sorting by time, and formatted result display.How to use the arXiv Search MCP Server?
Search can be completed through simple command-line operations. First, ensure that the Deno environment is installed and the MCP server is configured, then run the corresponding query commands to obtain the required information.Applicable Scenarios
Suitable for researchers or students who need to find the latest research results in specific fields, especially those interested in fields such as artificial intelligence and machine learning.Main Features
Search by CategoryAllows users to perform precise searches based on specified arXiv classification labels (e.g., cs.AI).
Get the Latest PapersCan return a list of the latest research articles sorted by submission date.
Formatted OutputEach result will include information such as title, author, abstract, and permanent link.
Advantages and Limitations
Advantages
A simple and easy - to - use command - line interface.
Supports multiple arXiv classifications, covering a wide range of research topics.
Provides rich metadata display for in - depth analysis of literature content.
Limitations
Requires pre - installation of the Deno runtime environment.
The initial setup may be slightly complicated for non - technical users.
Currently limited to English literature queries.
How to Use
Install Dependencies
Ensure that Deno is installed on the system and execute the following command to cache the modules required by the project:
deno cache --reload src/main.ts
Start Development Mode
Start the server program with file monitoring function:
deno task dev
Build an Executable File
If you want to deploy to a production environment, first build an independent binary file:
deno task compile
Usage Examples
Example 1: Get Popular Papers in the AI FieldDemonstrate how to retrieve the currently most popular papers related to artificial intelligence.
Example 2: Explore the Frontiers of Physical SciencesShow how to find important recent discoveries in the physical science subjects.
Frequently Asked Questions
How to determine the available arXiv classification options?
Why can't I see the results of some papers?
Related Resources
arXiv Official Documentation
Understand the basic usage of the arXiv API.
Deno Official Website
Get more information about the Deno runtime.
GitHub Repository
The open - source code repository for this project.
Featured MCP Services

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
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points

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
79
4.3 points

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
130
4.5 points

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#
554
5 points

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
6.6K
4.5 points

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
5.2K
4.7 points

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
745
4.8 points