# Mission Control

> Use this tool when you need to automate and validate tasks with specific success criteria, and iteratively work toward completion through automated feedback. Mission Control enables AI agents to define missions, track progress, and receive intelligent feedback, making it ideal for scenarios like automated testing, performance optimization, and deployment validation. It supports various validation strategies, state persistence, and performance metrics, providing a structured approach to goal-oriented workflows.

Canonical page: https://skillsregistry.net/skills/ufo23005-mission-control  
JSON: https://api.skillsregistry.net/v1/skills/ufo23005-mission-control

## Description

Mission Control MCP is a domain-agnostic task automation and validation system that enables AI agents to define missions with specific success criteria and iteratively work toward completion through automated validation feedback. Built with TypeScript, it supports three validation strategies (numeric comparisons, exit code checking, and keyword matching), tracks attempt counts with configurable limits, provides intelligent feedback generation, and includes state persistence with performance metrics. Designed for scenarios where AI agents need structured goal-oriented workflows with clear success/failure criteria, it's particularly useful for automated testing pipelines, performance optimization tasks, deployment validation, and any iterative problem-solving process that benefits from systematic progress tracking and validation.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ufo23005-mission-control)
- **Repository:** <https://github.com/ufo23005/mission-control-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": "ufo23005-mission-control"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ufo23005-mission-control` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ufo23005-mission-control/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
