Search Papers▌

by saidiibrahim
Search Papers — quickly find, filter, and analyze arXiv academic papers with powerful search and citation tools.
Search and analyze academic papers from arXiv
best for
- / Researchers conducting literature reviews
- / Graduate students writing theses
- / Data scientists exploring ML papers
- / Academic writers building bibliographies
capabilities
- / Search papers by author, category, or date range
- / Get detailed paper information by ID
- / Track paper versions and revisions
- / Find citations and related papers
- / Export bibliography data
- / Perform advanced searches with multiple filters
what it does
Search and analyze academic papers from arXiv with advanced filtering and citation tracking capabilities.
about
Search Papers is a community-built MCP server published by saidiibrahim that provides AI assistants with tools and capabilities via the Model Context Protocol. Search Papers — quickly find, filter, and analyze arXiv academic papers with powerful search and citation tools. It is categorized under ai ml. This server exposes 10 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Search Papers in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
Search Papers is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Agents 🤝 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.
FAQ
- What is the Search Papers MCP server?
- Search Papers is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Search Papers?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Search Papers is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Search Papers against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Search Papers is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Search Papers reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Search Papers for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Search Papers surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Search Papers has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Search Papers benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Search Papers into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Search Papers is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.