pulsemcp verified Safe content atomic mcp-remote

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.

Cognium trust score
92%
Tier
Verified

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
Author type
human
Last scanned
2026-09-28
Updated
2026-09-28
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Use via MCP

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
Swap --scope user for --scope project to commit it to .mcp.json.

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