About search-papers
search-papers is an MCP server for agents to search and analyze arXiv papers, suited to research and academic workflows. Alongside multi-field search, it supports version tracking, citation extraction, related-paper discovery, and bibliography export.
Key features
- 01Search by fields, date range, and sort order
- 02Find papers by author or category
- 03Retrieve paper details and versions
- 04Extract citations and find related papers
- 05Export BibTeX or JSON
- 06Prompts for reviews and trend analysis
Use cases
- 01Find papers by topic and publication date
- 02Track paper versions and extract citations
- 03Compile a literature review on a research topic
- 04Compare papers and analyze research trends
MCP support
The MCP server provides clients with arXiv search, paper analysis, and bibliography export tools, plus category and trending resources and prompts for tasks such as literature reviews.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEAgents 🤝 arXiv Papers
Empower your agents to search, analyse, and explore academic papers from arXiv autonomouly.
Table of Contents
To Do
- Publish to the MCP registry
- Try Cloudflare's experimental Code Mode
Key Features
- Advanced multi-field search with date ranges and sorting options
- Author-specific searches with affiliation tracking
- Category browsing for all ArXiv subject areas
- Version tracking to see how papers evolved
- Citation extraction from abstracts and metadata
- Related paper discovery based on content similarity
- Bibliography export in BibTeX and JSON formats
Getting Started
Cursor
{
"search-papers": {
"command": "npx",
"args": ["mcp-remote", "https://search-papers.com/sse"]
}
}
Claude Code
claude mcp add --transport sse cloudflare-docs -s project https://search-papers.com/sse
{
"search-papers": {
"type": "sse",
"url": "https://search-papers.com/sse"
}
}
Codex
[mcp_servers.search-papers]
command = "npx"
args = ["https://search-papers.com/sse"]
Architecture
Search Papers MCP Features
Search & Discovery Tools:
advanced_search- Multi-field search with date ranges and sortingsearch_by_author- Find all papers by specific authorssearch_by_category- Browse papers in ArXiv categoriessearch_by_date_range- Find papers within time periods
Paper Analysis Tools:
get_paper_by_id- Retrieve complete paper informationget_paper_versions- Track all versions of a paperget_citations- Extract ArXiv citations from papersget_related_papers- Discover similar papers
Export & Bibliography:
export_bibliography- Export in BibTeX or JSON format
AI-Powered Prompts:
literature_review- Generate comprehensive literature reviewsresearch_gaps- Identify research gaps and opportunitiespaper_comparison- Compare multiple paperstrend_analysis- Analyze research trends over time
Resources:
categories://list- Browse all ArXiv categoriestrending://{category}/{days}- Get trending papers
Usage Examples
Advanced Searches
"Find papers on transformer architectures by Vaswani published after 2023"
"Search for quantum computing papers in the last month"
"Show me all papers by Geoffrey Hinton with their affiliations"
Paper Analysis
"Get all versions of paper 2401.12345 and show how it evolved"
"Extract citations from paper 2401.12345"
"Find papers related to arXiv:2301.00001"
Research Insights
"Generate a literature review on vision transformers focusing on architecture innovations"
"Identify research gaps in federated learning over the last 2 years"
"Compare papers 2401.12345, 2401.67890, and 2401.11111 on methodology"
"Analyze trends in large language models research over 5 years"
Export & Resources
"Export these 5 papers in BibTeX format for my thesis"
"Show trending AI papers from the last week"
"List all computer science categories in ArXiv"
Additional Resources
- Model Context Protocol Documentation
- ArXiv API Documentation
- Cloudflare Workers Guide
- MCP TypeScript SDK
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This repository is licensed under the Apache-2.0 License
Acknowledgments
Built with ❤️ by Ibrahim Saidi and AI agents.
Comments
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.