How do I install the mlflow mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `MLFLOW_TRACKING_URI` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

SSyncDev

Start a project

Mlflow MCP Server

Model Context Protocol (MCP) Server for MLflow Prompt Registry

Local serverstdio

What is the Mlflow MCP Server?

Mlflow becomes available to MCP clients through the mlflow mcp server. Model Context Protocol (MCP) Server for MLflow Prompt Registry.

What Mlflow does

Model Context Protocol (MCP) Server for MLflow Prompt Registry, enabling access to prompt templates managed in MLflow.

Practical notes

Maintained by B-Step62.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
list-prompts	List available prompts
Inputs:	name (string): Name of the prompt to retrieve
filter	optional string): Filter for prompts
Returns	Compiled prompt object
get-prompt	Retrieve and compile a specific prompt
arguments	optional object): JSON object with prompt variables

How to install the Mlflow MCP Server

{
  "mcpServers": {
    "mlflow": {
      "command": "node",
      "args": [
        "<absolute-path-to-this-repository>/dist/index.js"
      ],
      "env": {
        "MLFLOW_TRACKING_URI": "http://localhost:5000"
      }
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

Variable	Description	Required
MLFLOW_TRACKING_URI	Declared in the maintainer’s client configuration.	Check documentation

Example prompts to try

“Use Mlflow to list-prompts.”
“Use Mlflow to Inputs.”
“Use Mlflow to Returns.”

Frequently asked questions

Model Context Protocol (MCP) Server for MLflow Prompt Registry Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.