MCPAvailable
Use TSFM.ai time series forecasting inside Claude conversations. Forecast, compare models, and create schedules through the MCP integration.
MCP integrationConversational forecastingModel comparison in chat
Integrations
Integrations
Use TSFM.ai forecasting inside your existing tools. MCP integrations bring model listing, forecast execution, and scheduling directly into AI assistants and editors.
MCPComing soon
Cursor
Use time series forecasting inside Cursor through the TSFM.ai MCP server. Forecast, compare models, and manage schedules alongside your code.
MCP integrationIn-editor forecasting
PluginComing soon
ChatGPT
Connect TSFM.ai to ChatGPT for conversational time series forecasting and model comparison.
PluginConversational forecasting
How integrations work
All integrations use the same TSFM.ai API under the hood. MCP integrations expose forecast, model listing, and scheduling as tools that your AI assistant discovers automatically. You get the same models, the same request shapes, and the same results — just accessed from inside your existing workflow.
Build your own integration
The TSFM.ai API is a standard REST endpoint. Any tool that can make HTTP requests can integrate. For AI assistants, use the MCP server or define tool-calling schemas against the REST API.