Archerkattri/mathlas

mathlas

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 — search_existing_math finds the real theorem from a 3.68M-doc index; verify_numeric and verify_formal check claims with zero hallucination risk.
• You have a numeric constant or integer sequence you can't identify — identify_constant runs PSLQ + closed-form matching (50-digit precision); identify_sequence does an exact OEIS term-match.
• You need the formal (Lean/mathlib) name of a result — search_formal_math 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.