Mission Control
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/ufo23005/mission-control-mcp
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Mission Control from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.