Machine Learning made beautifully simple. A company-wide platform that runs in any cloud or on-premises to operationalize Machine Learning in your organization.

MCPAPI

What your agent can do

  • Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs. Full schema: https://pipedream.com/apps/bigml/actions/create-batch-prediction.md

    Via MCP.

Tasks depend on the interface and permissions.

Connection methods

Choose a route that fits your agent.

MCP connection
MCP server URL
https://remote.mcp.pipedream.net/v3

Authentication
Provide the Pipedream Connect access token and the documented project, environment, external-user and app-slug headers; provider account connection may be required.
POST https://remote.mcp.pipedream.net/v3
API connection
API path
https://api.pipedream.com/v1/connect/{project_id}/proxy/aHR0cHM6Ly9iaWdtbC5pby9hbmRyb21lZGEvc291cmNl?external_user_id={external_user_id}&account_id=apn_xxxxxxx

Authentication
Send a Pipedream Connect access token; Pipedream forwards the connected account credentials to the upstream provider.

Documentation & experience

  • 2 connection paths
View sources and checks
How documentation is checked