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MLflow MCP — experiments, runs, registered models, versions, traces, assessments (MLflow 3)
io.github.us-all/mlflow is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding io.github.us-all/mlflow to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
npx -y @us-all/mlflow-mcp@1.12.7Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-06-19T03:59:02.558583Z",
"publishedAt": "2026-06-19T03:59:02.558583Z",
"statusChangedAt": "2026-06-19T03:59:02.558583Z"
}
},
"server": {
"name": "io.github.us-all/mlflow",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.12.7",
"packages": [
{
"version": "1.12.7",
"transport": {
"type": "stdio"
},
"identifier": "@us-all/mlflow-mcp",
"registryType": "npm",
"environmentVariables": [
{
"name": "MLFLOW_TRACKING_URI",
"isRequired": true,
"description": "MLflow tracking server URI (e.g. http://localhost:5050, https://mlflow.example.com)."
},
{
"name": "MLFLOW_TRACKING_TOKEN",
"isSecret": true,
"description": "Bearer token for authenticated MLflow servers (e.g. Databricks)."
},
{
"name": "MLFLOW_TRACKING_USERNAME",
"description": "Basic-auth username (alternative to token)."
},
{
"name": "MLFLOW_TRACKING_PASSWORD",
"isSecret": true,
"description": "Basic-auth password (alternative to token)."
},
{
"name": "MLFLOW_EXPERIMENT_ID",
"description": "Default experiment ID for run-creation tools."
},
{
"name": "MLFLOW_TOOLS",
"description": "Comma-separated category allowlist. Default: all categories enabled."
},
{
"name": "MLFLOW_DISABLE",
"description": "Comma-separated category disablelist."
},
{
"name": "MLFLOW_ALLOW_WRITE",
"default": "false",
"description": "Set to 'true' to enable write/destructive tools. Default read-only."
}
]
}
],
"repository": {
"url": "https://github.com/us-all/mlflow-mcp-server",
"source": "github"
},
"description": "MLflow MCP — experiments, runs, registered models, versions, traces, assessments (MLflow 3)"
}
}