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DimensionPaperGraph MCPRead math papers with evidence, not guesses.Hevy MCPManage your Hevy workout data from AI assistants via MCP.
FMRS55 / 100 · C77 / 100 · B
Reliability8 / 2012 / 20
Security and permissions12 / 2016 / 20
Maintenance10 / 2016 / 20
Documentation14 / 2018 / 20
Setup experience11 / 2015 / 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
  • Hevy PRO users who want AI assistants to directly access their workout data
  • People who prefer using MCP clients like Claude, Cursor, Codex for fitness tracking
  • Anyone needing summaries and insights from their training data
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
  • Users without a Hevy PRO subscription (API key required)
  • Users who want to use the server without an API key
  • Those needing delete workflows (Hevy API does not expose delete endpoints)
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 HEVY_API_KEY environment variable for Hevy API authentication
  • Can create, update, and replace workouts, routines, folders, templates, and body measurements via tools
  • Read operations can fetch workouts, routines, folders, templates, history, and user info
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
  • API key can be misused if leaked; do not expose in URLs, logs, or screenshots
  • Create operations may produce duplicates on retry; update operations replace existing records
  • The server sends data to the Hevy API and may send telemetry to external services unless disabled
Supported clientsMCP clients accepting JSON-style stdio configurationClaude Desktop, Cursor, Codex, Antigravity
Tools5426