Google released TimesFM-3 on 31 August
2026.
I shipped an MCP server for it the next day so Claude Desktop, Claude Code, and Cursor can call the model as a tool.
Repo: https://github.com/thenameisdevair/timesfm3-mcp What the agent actually gets The tool is .
You pass a chronological list of numbers.
You get: — median / point prediction — the nine official TimesFM-3 heads, through a license note on every response TimesFM-3 already produced those quantile heads.
Most thin wrappers throw them away.
This one does not.
The license is the product constraint Piece License This MCP wrapper Apache-2.0 TimesFM-3 weights () non-commercial, non-production You can research, evaluate, and run agent experiments.
You cannot put this checkpoint behind a paid API, a customer deliverable, or a live demand planner.
Google’s commercial path is BigQuery / AlloyDB .
If a README hides that, it is not a serious integration.
Install Weights are gated on Hugging Face.
Accept the model terms first.
Point Claude or Cursor at local/server.py using the venv Python.
Config snippets are in the README.
What this release is not No multivariate targets yet.
No past/future covariates.
No commercial backend.
Those are next.
This cut exists so “TimesFM-3 MCP” has a public, honest surface while the launch is still warm.
If the tool shape is wrong for your agent, feel free to open an issue on the repo.