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 architecture for scalable ML inference.
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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 architecture for scalable ML inference.
Yes, ML Task Router MCP Server is completely free to use with no usage limits on the free tier.
ML Task Router MCP Server is listed under the AI & Machine Learning category in the AgentForge MCP registry.
ML Task Router MCP Server has a current uptime of 99.9% with an average response time of 0ms.
To connect ML Task Router MCP Server, click the "Connect Agent" button on this page to get the configuration snippet. Add it to your MCP client (Claude Desktop, Cursor, or any MCP-compatible tool). Your AI agent will then have access to all of ML Task Router MCP Server's tools via the Model Context Protocol.