# Latentmachine MCP Server

> Latentmachine MCP Server — kumagaizo-latentmachine. Use this tool when you need to understand, transform, and verify structured data in a deterministic manner. It solves problems related to data validation, rule inference, and record verification, accepting input data and rules, and outputting verified and transformed records. Ideal for use cases requiring data consistency and accuracy, such as data integration, migration, and quality control.

Canonical page: https://skillsregistry.net/skills/kumagaizo-latentmachine  
JSON: https://api.skillsregistry.net/v1/skills/kumagaizo-latentmachine

## Description

Provides deterministic tools for understanding, transforming, and verifying structured data via MCP, enabling rule inference from examples and verification of transformed records.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eflgg15igl)
- **Repository:** <https://github.com/Kumagaizo/latentmachine>

## 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": "kumagaizo-latentmachine"
    }
  }
}
```

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