The MCP Server for ZenML allows users to interact with their MLOps and LLMOps pipelines using the ZenML API. It integrates with various clients to facilitate access to machine learning models and data sources.
The MCP Server for ZenML allows users to interact with their MLOps and LLMOps pipelines using the ZenML API. It integrates with various clients to facilitate access to machine learning models and data sources.
Add this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"mcp-server-for-zenml": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-mcp-server-for-zenml"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from MCP Server for ZenML?"
No configuration required. This server works out of the box.
"What resources are available in MCP Server for ZenML?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in MCP Server for ZenML"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in MCP Server for ZenML with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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