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Mathlas MCP server

by Archerkattri·io.github.Archerkattri/mathlas·v1.5.0·12 stars
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Airtight math for AI agents: 3.68M-doc theorem search + numeric/Lean verification. No LLM, no key.

A85/100grade A
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Safety scan
A85/100

full report

Adoption
Growing

12 stars49 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Mathlas tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it

1 medium
  • Code scan25 source files scanned20/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 8 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Findings (1)

  • mediumeval / new Function usedexec.eval
    mathlas_mcp-1.5.0/mathlas/ramanujan.py: …pr) # INDEPENDENT high-precision re-eval (the airtight gate, reused from verify.py…
Overall 85/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Mathlas compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
85/100
higher than 73% of 4,460 AI and agents servers
GitHub stars
12
more than 85% of 2,711 AI and agents servers
Downloads a week
49
more than 41% of 1,538 AI and agents servers with a package

Install Mathlas in Claude Code, Cursor or VS Code

claude mcp add mathlas -- uvx mathlas-mcp
Add to Cursor

What the publisher says

From the Mathlas repository's README, as published. We do not edit it. Read it on GitHub

mathlas

Available on mcp.so · Glama · listed in awesome-mcp-servers and best-of-lean4.

An airtight-math tool an AI uses — no LLM, no API key, free. Plug it into

Claude Code, Cursor, or any MCP client. The AI is the brain; mathlas is the

hands — it gives the AI the capabilities it lacks and returns data

(candidates, verdicts, checklists, scaffolds) for the AI to reason over.

Apache-2.0. The code is free for any use; published corpus/index artifacts carry their own per-source terms (CC-BY/CC0).

Every verdict from the real Lean 4.31.0 kernel / PSLQ + an independent re-eval — no LLM inside. Real in-process tool outputs, captured by assets/gen/capture_outputs.py.

Is this for you?

  • You use Claude Code / Cursor and want your AI to stop hallucinating math — searchexistingmath finds the real theorem from a 3.68M-doc index; verifynumeric and verifyformal check claims with zero hallucination risk.
  • You have a numeric constant or integer sequence you can't identify — identifyconstant runs PSLQ + closed-form matching (50-digit precision); identifysequence does an exact OEIS term-match.
  • You need the formal (Lean/mathlib) name of a result — searchformalmath proxies the public Loogle + LeanSearch services and returns declaration names + types, provenance-labeled.
  • You're building an agent pipeline that needs airtight math in the loop — all 12 tools are pure data-returning MCP tools, no LLM inside, composable with any framework.

Install & register with Claude Code (no API key)

One line, nothing to install first (needs uv):

claude mcp add mathlas -- uvx mathlas-mcp

uvx mathlas-mcp fetches + runs the server in an isolated env on first use. Prefer pip?

pip install mathlas-mcp              # core: numeric + retrieval + verify + scaffolds
pip install 'mathlas-mcp[mcp]'       # + official MCP SDK
pip install 'mathlas-mcp[retrieve]'  # + pyarrow, to read the real index
pip install 'mathlas-mcp[embed]'     # + sentence-transformers/torch, for the Qwen3 embedder

claude mcp add mathlas -- python -m mathlas.server

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Mathlas: common questions

Is Mathlas MCP server safe?
Yes, by our scan: it is graded A (85/100). Read the Mathlas safety report
How do I install Mathlas?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Mathlas need an API key?
No secret keys are declared. It reads 2 settings from the environment.
Is Mathlas maintained?
The last commit was 47 days ago (2026-09-18). The latest release is v1.5.0.
What can I use instead of Mathlas?
Servers from other publishers that do the same job: Spotifyscraper MCP server and Mnemoverse Memory MCP server.
How does Mathlas compare with other AI and agents MCP servers?
safety score 85/100 (higher than 73% of 4,460 AI and agents servers); github stars 12 (more than 85% of 2,711 AI and agents servers); downloads a week 49 (more than 41% of 1,538 AI and agents servers with a package). Full comparison.

Alternatives to Mathlas

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