Spinnaker
This MCP server implementation for Spinnaker, developed by Dion Hagan, enables AI models to interact with Spinnaker deployments, pipelines, and applications through a standardized interface. It provides tools for retrieving application and pipeline data, as well as triggering pipeline executions. The server maintains context about Spinnaker deployments and refreshes it periodically. Built with TypeScript and leveraging Express.js, it offers a RESTful API and WebSocket support for real-time updates. This implementation is particularly useful for DevOps teams and SREs looking to incorporate AI-driven decision making into their CI/CD processes, enabling use cases like automated deployment management, intelligent pipeline orchestration, and AI-assisted incident response.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
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/dion-hagan/mcp-server-spinnaker
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Spinnaker 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.