mcpserver.so LogoMCPFly
Submit
MLflow Prompt Registry MCP Server logo

MLflow Prompt Registry MCP Server

by MCP-Mirror

AI/Development ToolsMLflowPrompt RegistryClaudePrompt Templates

This server implements the Model Context Protocol (MCP) Prompts specification for discovering and using prompt templates from MLflow Prompt Registry. It enables loading prompt templates from MLflow in Claude Desktop.

View on GitHub

Last updated: N/A

What is MLflow Prompt Registry MCP Server?

An MCP (Model Context Protocol) server that allows Claude Desktop to access prompt templates stored in an MLflow Prompt Registry.

How to use MLflow Prompt Registry MCP Server?

  1. Install and start an MLflow server with Prompt Registry enabled. 2. Create prompt templates in MLflow. 3. Build the MCP server using npm. 4. Configure Claude Desktop to use the server by adding it to the claude_desktop_config.json file, specifying the command to run the server and the MLFLOW_TRACKING_URI environment variable.

Key features of MLflow Prompt Registry MCP Server

  • Implements MCP Prompts specification

  • Allows loading prompt templates from MLflow in Claude Desktop

  • Provides list-prompts tool for listing available prompts

  • Provides get-prompt tool for retrieving and compiling prompts

Use cases of MLflow Prompt Registry MCP Server

  • Instructing Claude conveniently for repetitive tasks

  • Streamlining common workflows in Claude

  • Managing and versioning prompt templates using MLflow

  • Using prompt templates from MLflow in Claude Desktop

FAQ from MLflow Prompt Registry MCP Server

What is MLflow Prompt Registry?

MLflow Prompt Registry is a feature in MLflow for managing and versioning prompt templates.

What is MCP?

MCP stands for Model Context Protocol, a standard for accessing and using prompt templates.

What is Claude Desktop?

Claude Desktop is an application that can utilize prompt templates to interact with language models.

How do I install MLflow?

You can install MLflow using pip: pip install mlflow>=2.21.1

How do I configure the server?

You configure the server by editing the claude_desktop_config.json file and specifying the command to run the server and the MLFLOW_TRACKING_URI environment variable.