A model context protocol (MCP) server is a managed server in integrator.io that publishes selected integration capabilities as MCP tools. These MCP tools can be discovered and invoked by any MCP-...
You can debug a flow in test mode to ensure the flow processes your records as expected before deploying the flow to production. Enter mock data manually or make calls to your source and destinati...
In NetSuite, running multiple flows at a time may cause the flow to run slowly and the flow status may stay in progress for a long time or flow is repeatedly cancelled. In such scenarios, you may r...
By default, a tool on an MCP server uses the connection configured by the administrator, so every end user shares the administrator's credentials and permissions in the downstream application. You ...
The Tool step is a deterministic execution node that invokes a predefined Tool and returns a schema-validated output. It enables reuse of packaged Tool logic across workflows, APIs, and other Tool...
Once logging is active and your flow has executed, you can access the run logs directly from the run history for each record. Following are the Run log column details: Timestamp: Start time of e...
Before you begin You must be an account owner or admin to create an MCP server or manage tools. You’ll need at least one API to expose it as a MCP tool. You must create an account alias before cr...
An AI agent is a reusable resource that sends each record in a flow or API to an AI model, along with your instructions, and returns the model's response. Use one to classify, summarize, extract, o...
AI providers update and retire their models over time. The lifecycle labels shown on AI models that are approaching retirement and flags models that are no longer supported. Use these labels to dec...
An MCP proxy lets you make capabilities from an external MCP server available through your Celigo MCP server. Connect the external server to Celigo, select which tools, prompts, and resources to ex...