MLflow Prompt Registry MCP Server
Enables access to prompt templates managed in MLflow through Claude Desktop, allowing users to instruct Claude with saved templates for repetitive tasks or common workflows.
B-Step62
README
MLflow Prompt Registry MCP Server
Model Context Protocol (MCP) Server for MLflow Prompt Registry, enabling access to prompt templates managed in MLflow.
This server implements the MCP Prompts specification for discovering and using prompt templates from MLflow Prompt Registry. The primary use case is to load prompt templates from MLflow in Claude Desktop, allowing users to instruct Claude conveniently for repetitive tasks or common workflows.
Tools
list-prompts- List available prompts
- Inputs:
cursor(optional string): Cursor for paginationfilter(optional string): Filter for prompts
- Returns: List of prompt objects
get-prompt- Retrieve and compile a specific prompt
- Inputs:
name(string): Name of the prompt to retrievearguments(optional object): JSON object with prompt variables
- Returns: Compiled prompt object
Setup
1: Install MLflow and Start Prompt Registry
Install and start an MLflow server if you haven't already to host the Prompt Registry:
pip install mlflow>=2.21.1
mlflow server --port 5000
2: Create a prompt template in MLflow
If you haven't already, create a prompt template in MLflow following this guide.
3: Build MCP Server
npm install
npm run build
4: Add the server to Claude Desktop
Configure Claude for Desktop by editing claude_desktop_config.json:
{
"mcpServers": {
"mlflow": {
"command": "node",
"args": ["<absolute-path-to-this-repository>/dist/index.js"],
"env": {
"MLFLOW_TRACKING_URI": "http://localhost:5000"
}
}
}
}
Make sure to replace the MLFLOW_TRACKING_URI with your actual MLflow server address.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
MCP Package Docs Server
Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.
Claude Code MCP
An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.
@kazuph/mcp-taskmanager
Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.
Linear MCP Server
Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.
mermaid-mcp-server
A Model Context Protocol (MCP) server that converts Mermaid diagrams to PNG images.
Jira-Context-MCP
MCP server to provide Jira Tickets information to AI coding agents like Cursor
Linear MCP Server
A Model Context Protocol server that integrates with Linear's issue tracking system, allowing LLMs to create, update, search, and comment on Linear issues through natural language interactions.
Sequential Thinking MCP Server
This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.