# Decision OS MCP

> Use this tool when you need to track and learn from unexpected outcomes in complex engineering projects. The Decision OS MCP captures 'pressure events' and integrates them into a knowledge base, enabling AI assistants to manage cases and promote recurring insights. It accepts inputs such as logged surprises and pressure events, and outputs a persistent learning foundation for informed decision-making.

Canonical page: https://skillsregistry.net/skills/marianstefi20-decision-os  
JSON: https://api.skillsregistry.net/v1/skills/marianstefi20-decision-os

## Description

An LLM-native decision tracking system that captures unexpected engineering outcomes as 'pressure events' to build a persistent learning foundation. It enables AI assistants to manage cases, log surprises, and promote recurring insights into global or project-specific knowledge bases.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/slmnn795bc)
- **Repository:** <https://github.com/marianstefi20/decision-os-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": "marianstefi20-decision-os"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marianstefi20-decision-os` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marianstefi20-decision-os/pull`

---
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