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Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionPaperGraph MCPRead math papers with evidence, not guesses.Firecrawl MCP ServerFirecrawl's official MCP server for web search, scraping, and structured extraction for AI agents
FMRS55 / 100 · C75 / 100 · B
Reliability8 / 2013 / 20
Security and permissions12 / 2012 / 20
Maintenance10 / 2016 / 20
Documentation14 / 2017 / 20
Setup experience11 / 2017 / 20
Best for
  • Math-paper readers who need a strict separation between evidence and guesses
  • Researchers who want an AI agent to help map theorems and dependencies inside a local workspace
  • People who want reading artifacts as Markdown they can keep in Git or notes
  • Users who want to review external references before importing them
  • Scenarios needing clean, structured web context fed to an AI assistant
  • Users already on the Firecrawl platform who want to call its scraping capability directly via MCP
Not for
  • People expecting the tool to prove or verify mathematical correctness
  • Anyone wanting automatic infinite crawling of the citation chain (A cites B, B cites C)
  • Users needing semantic theorem matching or equivalence judgments for similarly worded results
  • Users with scanned or OCR-heavy PDFs where extraction may be sparse
  • Users who expect a full TeX engine for complex projects
  • Simple static-page scraping where you don't want to depend on a third-party API and incur call costs
  • Sites that explicitly disallow automated access (robots.txt)
Required permissions
  • Read and write SQLite workspace files at user-chosen local paths
  • Read user-supplied local LaTeX projects and local PDF files
  • Download e-prints from arXiv's fixed e-print endpoint
  • Query public metadata services (Crossref, OpenAlex, arXiv) when the user runs a reference search
  • Write generated Markdown reports and manifest files into a user-specified artifact directory
  • Requires a Firecrawl API key to call; cost and quota are governed by the Firecrawl account
  • firecrawl_agent/firecrawl_interact perform automated browser interaction, which may trigger login or form-submission flows on the target site
Risks and side effects
  • The workspace stores text, source spans, and proof evidence extracted from papers, so committing databases or private manuscripts can leak content
  • The Scholarly Reference Resolver only searches public metadata and stops with explicit boundaries for ambiguous, old, paywalled, or metadata-only literature, requiring manual sourcing
  • An empty dependency result only means no resolvable theorem-label references were found under the current rule; it is not evidence that the theorem has no mathematical dependencies
  • Scanned PDFs may yield sparse text and missing evidence
  • The parser is not a full TeX engine, so complex projects may need an explicit main_file
  • Bulk crawl/map tools can generate significant request volume against a target site — respect the site's rate limits and terms of service
  • firecrawl_agent's interactive action chain is longer — define task boundaries clearly before running it to avoid accidentally triggering actions on a sensitive site
Supported clientsMCP clients accepting JSON-style stdio configurationClaude Desktop, VS Code, Cursor, Windsurf, Zed, Amp
Tools5411