# mathlas

> Use this tool when you need to perform advanced mathematical searches, identify constants, or verify theorems. Mathlas solves problems in mathematical research, education, and proof verification by providing access to a vast theorem database, constant identification, and kernel checks. It accepts mathematical inputs and returns relevant results, making it ideal for use cases where precise mathematical computations are required.

Canonical page: https://skillsregistry.net/skills/archerkattri-mathlas  
JSON: https://api.skillsregistry.net/v1/skills/archerkattri-mathlas

## Description

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.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/he05hlpxnx)
- **Repository:** <https://github.com/Archerkattri/mathlas>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "archerkattri-mathlas"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/archerkattri-mathlas` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/archerkattri-mathlas/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt