# mythos-reasoning-mcp

> Use this tool when you need to verify the accuracy and reliability of model outputs against evidence and provenance. It solves problems of model calibration, contradiction, and data integrity by providing an independent check on outputs, ensuring trustworthy results. The tool takes model outputs and evidence as inputs and returns a verification assessment, making it ideal for applications requiring high confidence in AI-driven decisions.

Canonical page: https://skillsregistry.net/skills/sorryorc-mythos-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sorryorc-mythos-mcp

## Description

A deterministic verification gate for MCP clients that independently checks model outputs against evidence, contradictions, calibration, and provenance without relying on LLM self-assessment.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u65whsbj5p)
- **Repository:** <https://github.com/sorryorc/mythos-mcp>

## 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": "sorryorc-mythos-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sorryorc-mythos-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sorryorc-mythos-mcp/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