timesfm-mcp
by chokukil
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| TIMESFM_MODEL_ID | No | Hugging Face model id or local model path. | google/timesfm-2.5-200m-pytorch |
| TIMESFM_BATCH_SIZE | No | TimesFM per_core_batch_size; raise only after memory is stable. | 64 |
| TIMESFM_MAX_CONTEXT | No | Maximum context points used by the compiled model. | 1024 |
| TIMESFM_MAX_HORIZON | No | Maximum forecast horizon. | 256 |
| TIMESFM_TORCH_COMPILE | No | Enable PyTorch compile when loading the model. | false |
| TIMESFM_RETURN_BACKCAST | No | Internal default; XReg requests force this to true. | false |
| TIMESFM_NORMALIZE_INPUTS | No | Normalize each input series before forecasting. | true |
| TIMESFM_INFER_IS_POSITIVE | No | Clamp positive-only series to nonnegative outputs. | true |
| TIMESFM_FIX_QUANTILE_CROSSING | No | Enforce monotonic quantiles. | true |
| TIMESFM_FORCE_FLIP_INVARIANCE | No | Enforce sign symmetry. | true |
| TIMESFM_CONTINUOUS_QUANTILE_HEAD | No | Use continuous quantile head for better bands. | true |
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
No tools | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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