ML Task Router

v1.0.0Data Science & MLstable

Enables routing of ML tasks like chat, sentiment analysis, recommendations, and summarization to appropriate models through a dynamic YAML-based registry. Provides async FastAPI endpoints with streaming support, retry logic, and pluggable model archi

ml-task-router-mcp-servermcpai-integration
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What is ML Task Router?

ML Task Router is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables routing of ml tasks like chat, sentiment analysis, recommendations, and summarization to appropriate models through a dynamic yaml-based registry. provides async fastapi endpoints with streami...

Enables routing of ML tasks like chat, sentiment analysis, recommendations, and summarization to appropriate models through a dynamic YAML-based registry. Provides async FastAPI endpoints with streaming support, retry logic, and pluggable model archi

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Enables routing of ML tasks like chat, sentiment analysis, r

Use Cases

Route ML tasks to appropriate models
YAML-based registry
sriramkreddy10

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx ml-task-router-mcp-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about ML Task Router

What is ML Task Router?

ML Task Router is a Model Context Protocol (MCP) server that enables routing of ml tasks like chat, sentiment analysis, recommendations, and summarization to appropriate models through a dynamic yaml-based registry. provides async fastapi endpoints with streaming support, retry logic, and pluggable model archi It connects AI assistants to external tools and data sources through a standardized interface.

How do I install ML Task Router?

Follow the installation instructions on the ML Task Router GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with ML Task Router?

ML Task Router works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is ML Task Router free to use?

Yes, ML Task Router is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "ml-task-router-mcp-server": { "command": "npx", "args": ["-y", "ml-task-router-mcp-server"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use ML Task Router?

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