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Archerkattri/mathlas

by Various

Airtight math tools an AI uses over MCP — 3.7M-theorem search, PSLQ constant ID, OEIS, real Lean kernel checks, applicability checklists. No LLM inside, no API key.

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MCP

Archerkattri/mathlas

Added 11 June 2026

#ai-tools #claude #formal-verification #lean4 #math #mcp-server #retrieval #theorem-search

Overview

A set of airtight math tools accessible via the Model Context Protocol (MCP). It provides theorem search over 3.7 million theorems, PSLQ constant identification, OEIS lookup, real Lean kernel checks, and applicability checklists. The tool contains no LLM and requires no API key, running entirely locally.

Best for

Best for
Developers building AI agents that need rigorous mathematical verification without relying on an LLM.

Use cases

  • Verifying mathematical conjectures with automated theorem search.
  • Identifying unknown constants using PSLQ algorithm.
  • Checking mathematical statements against the Lean kernel for correctness.

Notes

A set of airtight math tools accessible via the Model Context Protocol (MCP). It provides theorem search over 3.7 million theorems, PSLQ constant identification, OEIS lookup, real Lean kernel checks, and applicability checklists. The tool contains no LLM and requires no API key, running entirely locally.

1 stars on GitHub. Last updated 2026-06-11. Licensed Apache-2.0.

Use cases

  • Verifying mathematical conjectures with automated theorem search.
  • Identifying unknown constants using PSLQ algorithm.
  • Checking mathematical statements against the Lean kernel for correctness.

Pros

  • No external API dependencies, runs fully offline.
  • Integrates multiple rigorous math tools into a single MCP interface.
  • Provides applicability checklists to guide appropriate use.

Cons

  • Very early stage project with only 1 star and limited community support.
  • Requires understanding of MCP and local setup.
  • Coverage may be limited to specific theorem databases and constant identification methods.

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • No external API dependencies, runs fully offline.
  • Integrates multiple rigorous math tools into a single MCP interface.
  • Provides applicability checklists to guide appropriate use.

Cons

  • Very early stage project with only 1 star and limited community support.
  • Requires understanding of MCP and local setup.
  • Coverage may be limited to specific theorem databases and constant identification methods.

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