Academic Research

This skill provides comprehensive guidance for academic paper search, literature reviews, and research synthesis using Exa MCP and arxiv-mcp-server.

When to Use This Skill

• Searching for academic papers on a topic
• Conducting literature reviews
• Finding papers by specific authors
• Discovering recent research in a field
• Downloading and analyzing arXiv papers
• Synthesizing findings across multiple papers
• Tracking citation networks and influential papers
• Researching state-of-the-art methods in AI/ML

Available Tools

Exa MCP Server (Web Search with Academic Filtering)

Tools: mcp__exa__web_search_exa, mcp__exa__get_code_context_exa, mcp__exa__deep_search_exa

Key Parameters for Academic Search:

• category: "research_paper" - Filter results to academic papers
• includeDomains: ["arxiv.org"] - Restrict to arXiv
• startPublishedDate / endPublishedDate - Filter by publication date

ArXiv MCP Server (Paper Search, Download, Analysis)

Tools: search_papers, download_paper, list_papers, read_paper

Capabilities:

• Search arXiv by keyword, author, or category
• Download papers locally (~/.arxiv-papers)
• Read paper content directly
• Deep paper analysis with built-in prompts

Core Workflows

Workflow 1: Quick Paper Discovery

Use case: Find papers on a specific topic quickly

Step 1: Use Exa with research_paper category
mcp__exa__web_search_exa({
  query: "transformer attention mechanisms survey",
  category: "research_paper",
  numResults: 10
})

Step 2: Review titles and abstracts
Step 3: Note arXiv IDs for deeper analysis

Workflow 2: ArXiv-Focused Search

Use case: Search specifically within arXiv

Step 1: Use arxiv MCP search_papers
search_papers({
  query: "large language models reasoning",
  max_results: 20,
  sort_by: "relevance"
})

Step 2: Download papers
download_paper({ arxiv_id: "2301.00234" })

Step 3: Read and analyze
read_paper({ arxiv_id: "2301.00234" })

Workflow 3: Comprehensive Literature Review

Step 1: Broad discovery with Exa (category: "research_paper")
Step 2: Identify key papers and authors
Step 3: Deep dive with arXiv MCP (download + read_paper)
Step 4: Synthesize findings by methodology/approach

Workflow 4: Recent Developments Tracking

Step 1: Time-filtered Exa search
mcp__exa__web_search_exa({
  query: "multimodal large language models",
  category: "research_paper",
  startPublishedDate: "2024-01-01"
})

Step 2: Sort arXiv by submitted_date
search_papers({ query: "multimodal LLM", sort_by: "submitted_date" })

ArXiv Categories Reference

Category	Description
cs.AI	Artificial Intelligence
cs.CL	Computation and Language (NLP)
cs.CV	Computer Vision
cs.LG	Machine Learning
cs.NE	Neural and Evolutionary Computing
stat.ML	Statistics - Machine Learning
cs.RO	Robotics

Academic Domain Filtering

For Exa searches, restrict to academic sources:

includeDomains: [
  "arxiv.org",
  "aclanthology.org",
  "openreview.net",
  "proceedings.mlr.press",
  "papers.nips.cc",
  "openaccess.thecvf.com"
]

Tool Selection Guide

Task	Primary Tool	Alternative
Broad topic search	Exa (research_paper)	arXiv search_papers
ArXiv-specific	arXiv search_papers	Exa with includeDomains
Download paper	arXiv download_paper	-
Full paper content	arXiv read_paper	-
Code implementations	Exa get_code_context	-
Very recent papers	arXiv (submitted_date)	Exa with date filter

Best Practices

1. Start broad with Exa's research_paper category, then narrow
2. Use date filtering for recent developments
3. Download key papers via arXiv MCP for persistent access
4. Cross-reference multiple search approaches
5. Use technical terms in queries for better results

Reference Documentation

For detailed parameters and advanced usage:

• references/exa-academic-search.md - Exa parameters for academic search
• references/arxiv-mcp-tools.md - ArXiv MCP server tool reference