ai-ml

Search Papers

saidiibrahim

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

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Direct arXiv accessCitation tracking included10+ search tools

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

Install MCP Server

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

Install MCP Server

{
  "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 sorting
  • search_by_author - Find all papers by specific authors
  • search_by_category - Browse papers in ArXiv categories
  • search_by_date_range - Find papers within time periods

Paper Analysis Tools:

  • get_paper_by_id - Retrieve complete paper information
  • get_paper_versions - Track all versions of a paper
  • get_citations - Extract ArXiv citations from papers
  • get_related_papers - Discover similar papers

Export & Bibliography:

  • export_bibliography - Export in BibTeX or JSON format

AI-Powered Prompts:

  • literature_review - Generate comprehensive literature reviews
  • research_gaps - Identify research gaps and opportunities
  • paper_comparison - Compare multiple papers
  • trend_analysis - Analyze research trends over time

Resources:

  • categories://list - Browse all ArXiv categories
  • trending://{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

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 49 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.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.549 reviews
  • Camila White· Dec 28, 2024

    Search Papers has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Anika Gupta· Dec 16, 2024

    Strong directory entry: Search Papers surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Dec 4, 2024

    Search Papers is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Yuki Chen· Nov 27, 2024

    According to our notes, Search Papers benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Oshnikdeep· Nov 23, 2024

    Strong directory entry: Search Papers surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Fatima Bhatia· Nov 19, 2024

    We evaluated Search Papers against two servers with overlapping tools; this profile had the clearer scope statement.

  • Yuki Huang· Nov 7, 2024

    Search Papers is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Layla Smith· Oct 26, 2024

    Search Papers reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Oct 14, 2024

    Useful MCP listing: Search Papers is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Fatima Reddy· Oct 10, 2024

    We wired Search Papers into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

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