generated: '2026-07-20' method: searched status: published source: https://www.nixtla.io/blog/genai-announcement server: name: nixtla transport: stdio description: Nixtla ships MCP tools that expose TimeGPT time-series forecasting and anomaly detection to AI agents. Announced 2025-12-18 as part of Nixtla Enterprise's foundation-models + MCP + agentic release. Distributed via installers for production and local environments; documented to work with Claude Desktop, Claude Code, and Cursor. No public hosted/remote endpoint URL is advertised — installed locally against the Nixtla API key. clients: - Claude Desktop - Claude Code - Cursor notes: The tools[] below are candidate tools DERIVED from the published OpenAPI operations (https://nixtla.io/docs/openapi.json), not a verbatim capture of Nixtla's shipped MCP tool manifest, which is not publicly enumerated. They reflect the API surface an MCP server over this API would expose. tools: - name: forecast description: Multi-series time-series forecast with TimeGPT. source_operation: openapi/nixtla-openapi-original.json#v2_forecast_v2_forecast_post - name: detect_anomalies description: Detect anomalies across multiple historical time series. source_operation: openapi/nixtla-openapi-original.json#v2_anomaly_detection_v2_anomaly_detection_post - name: detect_anomalies_online description: Real-time (online) anomaly detection over streaming series. source_operation: openapi/nixtla-openapi-original.json#v2_online_anomaly_detection_v2_online_anomaly_detection_post - name: cross_validation description: Rolling-window cross validation for multiple series. source_operation: openapi/nixtla-openapi-original.json#v2_cross_validation_v2_cross_validation_post - name: finetune description: Fine-tune TimeGPT on custom data and save the model for reuse. source_operation: openapi/nixtla-openapi-original.json#v2_finetune_v2_finetune_post - name: list_finetuned_models description: List saved fine-tuned models. source_operation: openapi/nixtla-openapi-original.json#v2_finetuned_models_v2_finetuned_models_get - name: get_finetuned_model description: Retrieve metadata for a fine-tuned model. source_operation: openapi/nixtla-openapi-original.json#v2_finetuned_model_v2_finetuned_models__finetuned_model_id__get - name: delete_finetuned_model description: Delete a saved fine-tuned model. source_operation: openapi/nixtla-openapi-original.json#v2_finetuned_models_delete_v2_finetuned_models__finetuned_model_id__delete - name: get_model_params description: Get model input_size and horizon parameters for a model/frequency. source_operation: openapi/nixtla-openapi-original.json#get_model_params_model_params_get - name: validate_api_key description: Validate a Nixtla API key. source_operation: openapi/nixtla-openapi-original.json#validate_api_key_validate_api_key_get deployment: mode: local-stdio verified: searched tools: 10 checked: '2026-08-12' source: catalog MCP census