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firecrawl-research-papers

firecrawl/firecrawl-workflows

Find and synthesize research papers, whitepapers, and academic sources using semantic search and citation expansion.

What is firecrawl-research-papers?

Firecrawl Research Papers helps you build sourced literature reviews by searching a curated index of biomedical, life-science, and arXiv preprints, then expanding results through related papers and citation graphs. Use it when you need evidence-based synthesis from scholarly publications rather than general web pages.

  • Semantic search over paper abstracts in PubMed, bioRxiv, medRxiv, and arXiv
  • Expand from seed papers into related work, citing papers, or references via citation graphs
  • Fetch canonical metadata (title, abstract, authors, dates, categories) for candidate papers
  • Verify specific claims, methods, benchmarks, or constraints within paper full text
  • Fall back to web search for whitepapers, technical reports, and research blogs outside the paper index
  • Organize results into structured literature reviews with themes, consensus, and open questions

How to install firecrawl-research-papers

npx skills add https://github.com/firecrawl/firecrawl-workflows --skill firecrawl-research-papers
Prerequisites
  • Firecrawl API key (for hosted Firecrawl Research, CLI, or MCP)
Claude Code
Cursor
Windsurf
Cline

How to use firecrawl-research-papers

  1. 1.Define your topic and any constraints (venue, date, methodology, author, or organization)
  2. 2.Use semantic paper search to find strong anchor papers matching your topic
  3. 3.Expand from anchors using related-papers, citers, or references modes to build the paper family
  4. 4.Inspect metadata on candidate papers to verify dates, authors, and categories
  5. 5.Read specific papers to verify load-bearing claims, methods, or benchmark results
  6. 6.Organize findings into a structured literature review with themes, consensus, and open questions
  7. 7.Include source URLs and distinguish peer-reviewed work from blogs and vendor reports

Use cases

Good for
  • Build a systematic literature review on a clinical, drug, or disease topic
  • Survey recent arXiv preprints in computer science, physics, or mathematics
  • Find papers that benchmark a specific method or dataset
  • Identify the research landscape and key players in a biomedical or technical field
  • Verify methodological claims or reported results from candidate papers
Who it's for
  • Researchers conducting literature reviews or systematic reviews
  • Students writing survey papers or thesis background sections
  • Data scientists benchmarking methods against published results
  • Clinicians or public-health professionals reviewing evidence bases
  • Technical writers synthesizing industry reports and academic work

firecrawl-research-papers FAQ

What sources does the paper index cover?

Primarily biomedical and life-science literature from PubMed, bioRxiv, and medRxiv; arXiv preprints in computer science, physics, and mathematics; and academic papers from university and publisher sites. Coverage outside those sources is thinner; use web search for whitepapers and research blogs.

When should I use this instead of general web research?

Use this skill when the evidence base is published papers rather than web pages—for literature reviews, systematic reviews, clinical topics, or benchmarking studies. Use general web search for leaderboards, rankings, and reports outside the paper corpus.

How do I find papers on a specific topic if I don't have a seed paper?

Start with semantic paper search using your topic framing. If results are thin or too narrow, retry with alternate keywords or broader descriptions. Then expand strong anchors using related-papers to build the full paper family.

Can I verify a specific claim inside a paper?

Yes. Use the read-paper tool with a targeted question about method, reported score, benchmark, affiliation, comparison, or limitation to extract and verify that claim from the paper's full text.

What should I do if a paper is inaccessible or the PDF fails?

Note it in your final deliverable and distinguish it from successfully retrieved papers. Fall back to the paper's abstract and metadata, or use web search to find a preprint or author version.

Full instructions (SKILL.md)

Source of truth, from firecrawl/firecrawl-workflows.


name: firecrawl-research-papers description: Find and synthesize research papers, whitepapers, PDFs, technical reports, and academic sources with Firecrawl Research, using semantic paper search, related-paper expansion, and in-body verification over Firecrawl's paper index — largely biomedical and life-science literature from PubMed, bioRxiv, and medRxiv, plus arXiv preprints in CS, physics, and math. Use when the user wants a literature review, systematic review, survey of studies, paper summary, research landscape, or sourced synthesis from scholarly and industry publications, including clinical, drug, gene, disease, epidemiology, and public-health topics. Prefer this over a general web-research workflow whenever the evidence base is published papers rather than web pages. license: ISC metadata: author: firecrawl version: "0.1.0" homepage: https://www.firecrawl.dev source: https://github.com/firecrawl/firecrawl-workflows inputs:

  • name: FIRECRAWL_API_KEY description: Firecrawl API key for hosted Firecrawl Research, CLI, MCP, or equivalent tool requests. required: true

Firecrawl Research Papers

Use this to create a sourced literature review.

Onboarding Interview

Infer the topic, source constraints, target count, and output format from context. If the topic is clear, proceed immediately.

Ask at most 1-3 concise questions only if blocked, such as the topic, target paper count, or required venue/date/method constraints.

Firecrawl Collection Plan

Use Firecrawl Research through the CLI, MCP, or equivalent Firecrawl tool surface as the primary path for paper discovery and verification. Fall back to general Firecrawl search and scrape for whitepapers, technical reports, research blogs, leaderboards, or facts outside the paper corpus.

What the paper index holds: paper abstracts, with full text reachable per paper. Its largest share is biomedical and life-science literature — PubMed journal articles plus bioRxiv and medRxiv preprints — so clinical, drug, gene, disease, epidemiology, and public-health questions are in scope. arXiv preprints cover computer science, physics, and mathematics. Coverage outside those sources is thinner, and the web tools below are the fallback there.

Core tools:

  • MCP: firecrawl_research_search_papers(query, k?) CLI: firecrawl research search-papers <query> [--k <number>] Semantic search over paper abstracts. Start here for most paper-finding queries, and retry with alternate framing when results are thin or too narrow.
  • MCP: firecrawl_research_related_papers(seed_ids, intent, mode?, k?) CLI: firecrawl research related-papers <seedIds...> --intent <intent> [--mode <similar|citers|references>] [--k <number>] Expand from strong seed papers into similar work, citing papers, or references. Use this to find the relevant paper family, not just the first matching result.
  • MCP: firecrawl_research_inspect_paper(id) CLI: firecrawl research inspect-paper <id> Fetch canonical metadata for a candidate paper: title, abstract, authors, categories, source ids, and dates.
  • MCP: firecrawl_research_read_paper(id, question) CLI: firecrawl research read-paper <id> --question <question> Verify a specific claim or constraint inside one paper, such as method, reported score, benchmark, affiliation, comparison, or limitation.
  • MCP: firecrawl_search(query) / firecrawl_scrape(url) CLI: firecrawl search <query> / firecrawl scrape <url> Use for web-only context: benchmark leaderboards, rankings, reports, whitepapers, research blogs, and source pages outside the paper index.

Not the paper index, despite the name: passing categories: ["research"] to firecrawl_search (CLI firecrawl search <query> --categories research) filters an ordinary web search to research-affiliated websites — the list includes PubMed, bioRxiv, medRxiv, arXiv, and publisher sites — and returns page results from them. It reaches those sites' web pages; what it does not do is query their paper records in the index above, so there is no abstract search, no related-paper or citation-graph expansion, no canonical paper metadata, and no in-body passages. Use it when a web search is what you want and those sites should be weighted in the same call; use the firecrawl_research_* tools for paper work.

Match the approach to the query:

  • Single named paper: run one paper search, then inspect or read the paper if metadata or body verification is needed.
  • Paper by description, method, or topic family: search for strong anchors, then expand with related papers and keep close neighbors.
  • Enumeration queries, such as papers that do a task or benchmark a method: search multiple framings, expand several strong anchors, and re-seed from newly found relevant papers.
  • Papers that use or exhibit a property: start from the defining paper or strongest anchor, expand via similar, citers, or references, and use read-paper to verify the property.
  • Superlatives and leaderboards: use general web search or scrape to find the ranking, then map top entries back to papers with paper search.
  • Author, organization, venue, date, or methodology constraints: verify with inspect-paper metadata or read-paper before keeping a candidate.

Target source types:

  • biomedical and life-science literature from PubMed, with bioRxiv and medRxiv preprints for work that has not appeared in a journal yet
  • arXiv preprints in computer science, physics, and mathematics
  • academic papers from university sites and ACM/IEEE pages where accessible
  • industry reports and whitepapers
  • company research blogs
  • technical articles and conference summaries

Principles:

  • When in doubt, include the relevant paper family rather than only the single best result.
  • Use related-paper expansion to avoid stopping at one strong hit.
  • Use read-paper to verify load-bearing constraints, not to summarize every candidate.
  • Drop only clearly off-topic papers.

Parallel Work

If appropriate, use sub-agents or equivalent parallel task runners:

  • Academic Papers researcher
  • Biomedical and Life Sciences researcher, for PubMed journal articles and bioRxiv/medRxiv preprints on a clinical, drug, gene, disease, epidemiology, or public-health topic
  • Industry Reports researcher
  • Technical Articles researcher
  • Synthesis and citation reviewer

Split by source or sub-topic, not by tool. Give each researcher the same paper tools and let the topic decide which part of the corpus answers.

Final Deliverable

# Literature Review: [Topic]

## Abstract
[2-3 paragraph summary]

## Key Papers
[Title, authors, source URL, key findings, methodology, relevance]

## Themes And Consensus
[What sources agree on]

## Open Questions And Debates
[Disagreements and unresolved questions]

## Emerging Trends
[Recent developments]

## Sources
[Organized by paper/report/article]

## Rerun Inputs
workflow: firecrawl-research-papers
topic: [topic]
target_count: [number]
output: [markdown/brief]

Quality Bar

  • Every major claim should trace to a source.
  • Note inaccessible or failed PDFs.
  • Distinguish peer-reviewed work from blogs and vendor reports.