MLflow MCP — experiments, runs, registered models, versions, traces, assessments (MLflow 3)
Use this profile to copy client config, check auth requirements, review tools and resources, and compare related MCP servers before adding it to an AI client.
Get practical integration notes and launch examples for MCP servers like mlflow.
npx -y @us-all/mlflow-mcp{
"MLFLOW_TRACKING_URI": "YOUR_VALUE_HERE",
"MLFLOW_TRACKING_TOKEN": "YOUR_SECRET_VALUE",
"MLFLOW_TRACKING_USERNAME": "YOUR_VALUE_HERE",
"MLFLOW_TRACKING_PASSWORD": "YOUR_SECRET_VALUE",
"MLFLOW_EXPERIMENT_ID": "YOUR_VALUE_HERE",
"MLFLOW_TOOLS": "YOUR_VALUE_HERE",
"MLFLOW_DISABLE": "YOUR_VALUE_HERE",
"MLFLOW_ALLOW_WRITE": "false"
}Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.
{
"mcpServers": {
"io-github-us-all-mlflow": {
"command": "npx",
"args": [
"-y",
"@us-all/mlflow-mcp"
],
"env": {
"MLFLOW_TRACKING_URI": "YOUR_VALUE_HERE",
"MLFLOW_TRACKING_TOKEN": "YOUR_SECRET_VALUE",
"MLFLOW_TRACKING_USERNAME": "YOUR_VALUE_HERE",
"MLFLOW_TRACKING_PASSWORD": "YOUR_SECRET_VALUE",
"MLFLOW_EXPERIMENT_ID": "YOUR_VALUE_HERE",
"MLFLOW_TOOLS": "YOUR_VALUE_HERE",
"MLFLOW_DISABLE": "YOUR_VALUE_HERE",
"MLFLOW_ALLOW_WRITE": "false"
}
}
}
}~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonNo remote HTTP endpoint is advertised. Use the package or stdio setup shown in Install.
mlflow is an MCP server for MLflow MCP — experiments, runs, registered models, versions, traces, assessments (MLflow 3). It supports STDIO transport.
Use the generated config in Install. This server runs with npx -y @us-all/mlflow-mcp; add any required environment variables before starting your client.
Choose the Claude Desktop tab in Install and copy the config for npx -y @us-all/mlflow-mcp. Add required environment variables before starting Claude Desktop.
Choose the Claude Code tab in Install and copy the config for npx -y @us-all/mlflow-mcp. Add required environment variables before starting Claude Code.
Choose the Codex tab in Install and copy the config for npx -y @us-all/mlflow-mcp. Add required environment variables before starting Codex.
Choose the Cursor or VS Code tab in Install and copy the config for npx -y @us-all/mlflow-mcp. Add required environment variables before starting Cursor or VS Code.
mlflow uses STDIO transport. Use the package or command config in Install.
mlflow inventory is listed when the MCP endpoint exposes tools, resources, or prompts. Some servers require auth first.
mlflow is marked with Auth required by registry metadata auth. You may need provider login, an API key, a bearer token, or a session header.
| Package | Registry | Version | Inputs |
|---|---|---|---|
@us-all/mlflow-mcpstdio | npm | 1.12.4 | Env: MLFLOW_TRACKING_URI required Env: MLFLOW_TRACKING_TOKEN secret Env: MLFLOW_TRACKING_USERNAME Env: MLFLOW_TRACKING_PASSWORD secret Env: MLFLOW_EXPERIMENT_ID Env: MLFLOW_TOOLS Env: MLFLOW_DISABLE Env: MLFLOW_ALLOW_WRITE |