pulsemcp scanned Safe content atomic mcp-remote

ZenML

This ZenML MCP server enables AI assistants to interact with ZenML, an open-source ML pipeline management platform. Built with Python using FastMCP, it provides tools to access core ZenML functionality including users, stacks, pipelines, runs, services, components, artifacts, and logs. The implementation allows querying pipeline metadata, triggering new pipeline runs, and analyzing run history through standardized MCP tools. It handles authentication via API keys and includes robust error handling, making it ideal for ML engineers who want to monitor and manage their machine learning workflows through conversational AI interfaces.

Cognium trust score
63%
Tier
Scanned

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 2026-09-01.

Scan details: Circle-IR · 2026-09-01 · 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
2026-09-01
Updated
2026-09-01
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Use via MCP

MCP

Resolve ZenML 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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