MLflow MCP — experiments, runs, registered models, versions, traces, assessments (MLflow 3)
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io.github.us-all/mlflow is an MCP server that MLflow MCP — experiments, runs, registered models, versions, traces, assessments (MLflow 3). Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 82/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"mlflow": {
"env": {
"MLFLOW_TRACKING_URI": "http://localhost:5000"
},
"args": [
"-y",
"@us-all/mlflow-mcp"
],
"command": "npx"
}
}
}Are you the author?
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MLflow MCP — experiments, runs, registered models, versions, traces, assessments (MLflow 3)
Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.
npx -y '@us-all/mlflow-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
Checked @us-all/mlflow-mcp against OSV.dev.
Click any tool to inspect its schema.
mlflow runMLflow run resource
mlflow://run/{runId}
mlflow experimentMLflow experiment resource
mlflow://experiment/{expId}
mlflow run artifactsMLflow run artifacts resource
mlflow://run/{runId}/artifacts
mlflow experiment runsMLflow experiment runs resource
mlflow://experiment/{expId}/runs
mlflow registered model versionsMLflow registered model versions resource
mlflow://registered-model/{name}/versions
mlflow traceMLflow trace resource
mlflow://trace/{traceId}
debug-failed-tracesFind failed traces, group failure modes
promote-best-runFind best run, register model, and set champion alias
compare-top-runsCompare top runs by metric
annotate-trace-qualityHighlight slow spans and failed feedback annotations
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