MCP Integration: Give your AI agent predictive superpowers
JITM.ai now exposes its full ML pipeline as 13 MCP tools. Any MCP-compatible agent (Claude, Cursor, GPT) can upload data, train models, and make predictions autonomously.
One of the core beliefs behind JITM.ai is that AI agents shouldn't just consume predictions. They should build them. Today we're shipping full MCP (Model Context Protocol) support that lets any compatible agent access the entire JITM.ai platform programmatically.
What's included
13 tools covering the complete workflow: jitm_request_upload and jitm_confirm_upload for data ingestion via presigned URLs, jitm_create_model for training, jitm_predict for inference, jitm_model_detail and jitm_feature_importance for explainability, plus account management, dataset listing, and workflow discovery.
How it works
Add your JITM.ai MCP token to any MCP-compatible client's configuration. The agent discovers available tools automatically. A typical workflow: the agent uploads a dataset, waits for analysis, creates a model with a target column, polls for training completion, then starts making predictions. No human intervention needed.
Agent-friendly design
Every tool description is written for agents, not developers. They lead with the use case, include next-step guidance, and avoid internal jargon. The jitm_describe_workflow tool returns the full ordered workflow for agents encountering JITM.ai for the first time.
Try it now
Generate your MCP token from the dashboard, add the server URL to your client config, and let your agent explore. The free tier includes one model, which is enough to see the full loop in action.