Power your agent
The publisher's own command. Not a PlugMCP endpoint.
Host a copy with our keys and logs.
docker run -i --rm docker.io/zenmldocker/mcp-zenml:2.1.1Claude Code has no install link for a local command. Copy the command below and run it in a terminal.
ZENML_STORE_URL=<value> ZENML_STORE_API_KEY=<secret> ZENML_MCP_PROFILE=<value> ZENML_MCP_WRITE_POLICY=<value> claude mcp add zenml-io-mcp-zenml -- docker run -i --rm docker.io/zenmldocker/mcp-zenml:2.1.1Run in a terminal.
{ "mcpServers": { "zenml-io-mcp-zenml": { "command": "docker", "args": [ "run", "-i", "--rm", "docker.io/zenmldocker/mcp-zenml:2.1.1" ], "env": { "ZENML_STORE_URL": "<value>", "ZENML_STORE_API_KEY": "<secret>", "ZENML_MCP_PROFILE": "<value>", "ZENML_MCP_WRITE_POLICY": "<value>" } } }}claude_desktop_config.json
Remote URL or a command on your machine? How the two installs differ
รันบน PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
เปิดTools
No tool list yet. Remote servers get one after the first health check.
FAQ
MCP server to connect an MCP client (Cursor, Claude Desktop etc) with your ZenML MLOps and LLMOps pipelines
{ "mcpServers": { "zenml-io-mcp-zenml": { "command": "docker", "args": [ "run", "-i", "--rm", "docker.io/zenmldocker/mcp-zenml:2.1.1" ], "env": { "ZENML_STORE_URL": "<value>", "ZENML_STORE_API_KEY": "<secret>", "ZENML_MCP_PROFILE": "<value>", "ZENML_MCP_WRITE_POLICY": "<value>" } } }}Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
The publisher lists these environment variables: ZENML_STORE_URL, ZENML_STORE_API_KEY, ZENML_MCP_PROFILE, ZENML_MCP_WRITE_POLICY.
MCP Zenml runs locally over stdio.
Last checked 2026-11-13. MCP server to connect an MCP client (Cursor, Claude Desktop etc) with your ZenML MLOps and LLMOps pipelines
From the publisher
README is not crawled yet. Open the repository
MCP server to connect an MCP client (Cursor, Claude Desktop etc) with your ZenML MLOps and LLMOps pipelines