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ai.smithery/shoumikdc-arxiv-mcp

Discover the latest arXiv papers by category and keyword. Control how many results you get to spee…

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README

From the repo.

arXiv-mcp

arXiv-mcp is a Model Context Protocol (MCP) server for querying and discovering the latest arXiv papers, built for seamless integration with LLMs and AI agents via the Smithery platform.

Overview

This tool enables AI applications to fetch, filter, and summarize new arXiv submissions in any category, making it easy to build research assistants, literature review bots, or custom paper discovery workflows. Powered by Smithery MCP, it supports session-based configuration and is ready for deployment.

Problem Statement

Staying up-to-date with the latest research on arXiv is challenging due to the volume and frequency of new submissions. arXiv-mcp solves this by providing a programmable interface for LLMs and agents to:

  • Retrieve daily arXiv postings by category
  • Search for papers by keyword
  • Return structured metadata (title, authors, summary, link, published date)
  • Personalize results with session config (in development currently!)

Example Usage (LLM Chat)

User:
Find today's latest papers in the category quant-ph. Then curate a list of papers related to quantum computing.

LLM (using arXiv-mcp):
Calls fetch_current_arxiv_postings_rss(category="quant-ph")
Returns a list of new papers with titles, authors, summaries, and links.


User:
Show me recent arXiv papers about "fluxonium qubits" in quantum computing.

LLM (using arXiv-mcp):
Calls keyword_search_arxiv_rss(category="quant-ph", keyword="fluxonium qubits")
Returns a list of filtered papers whose title or abstract matches the keyword.

Getting Started

  1. Run the server:

    uv run dev

  2. Test interactively:

    uv run playground

Your server code is in src/hello_server/server.py.
The server capabilities can be modified there.

Prerequisites

This code can be deployed by pushing to GitHub and then deploying via smithery.ai/new

Config for your environment

Use the endpoint URL below in your config. No API key — you connect directly.

Tool

OS

Config file: ~/.cursor/mcp.json

{
  "mcpServers": {
    "mcp-server": {
      "url": "https://server.smithery.ai/@shoumikdc/arxiv-mcp/mcp"
    }
  }
}

Paste into mcpServers in the config file. Restart Cursor after saving.

If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.