# invarianteval-mcp

> Use this tool when you need to ensure the accuracy and safety of AI-generated structured outputs, particularly in high-stakes applications where certain fields should not be auto-filled without human confirmation. The invarianteval-mcp tool solves problems of unintended model outputs by providing checks on locked fields, and it accepts structured data as input, returning validation results as output. It is ideal for use cases where deterministic evaluation of extractions is critical, such as in sensitive or regulated domains.

Canonical page: https://skillsregistry.net/skills/alpharomerojl-invarianteval  
JSON: https://api.skillsregistry.net/v1/skills/alpharomerojl-invarianteval

## Description

Enables AI agents to run safety-invariant checks on structured outputs, ensuring locked fields are never auto-filled by the model without human confirmation. The server provides two tools: check_invariants and list_invariants for deterministic eval of high-stakes extractions.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dos07imt6y)
- **Repository:** <https://github.com/AlpharomeroJL/invarianteval>

## 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": "alpharomerojl-invarianteval"
    }
  }
}
```

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

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