4 Connectors

Connectors provide a centralized way to define and manage integration details for external systems used by MicroTx Workflows. A connector can capture connection information such as endpoint URLs, authentication details, credentials, and other configuration parameters required to access an external service.

By defining connectors once, you can reference the same integration from multiple task definitions and AI agent profiles. This avoids duplicating connection details or credentials across workflows and helps keep integrations consistent, easier to maintain, and easier to update.

Credentials stored in connectors are protected through the MicroTx Workflows secret management mechanism. Sensitive values are stored as encrypted secrets using the encryption keys configured during installation, and are masked when connector details are retrieved through the APIs.

What this means for you as a developer:

  • Centralized integration management: Manage external service connection details and credentials in one place.
  • Credential reuse without duplication: Reference configured connectors from workflows, tasks, and AI agent profiles without embedding credentials in each definition.
  • Improved security: Sensitive connector fields are encrypted at rest and masked in API responses.
  • Simpler workflow development: Workflows can use existing connector definitions instead of requiring each task to carry its own integration configuration.
  • Easier maintenance: If an endpoint, credential, or integration parameter changes, update the connector once instead of updating every workflow or task that uses it.

Let's understand this with an example. Suppose a workflow needs to call an AI model or access a database. Instead of placing the service URL, credentials, and related configuration directly in the workflow task, you can define the connection as a connector profile. The workflow or AI agent profile references that connector by name, and MicroTx Workflows uses the stored configuration to perform the integration.

Topics

  • Manage LLM Connector
    Define and manage Large Language Model (LLM) provider configurations used by MicroTx Workflows for AI-related workflow and agent operations.
  • Manage Database Profiles
    Define and manage database connection details in one place. Use database profiles to access data stores across workflows, tasks, and agent-driven processes.
  • Manage Internal Tool Configurations
    In addition to tools integrated through MCP servers, tool configuration provides a centralized way for you to register and manage internal MicroTx Workflows tools. Define tool settings once, and reference them across AI-driven workflow features.
  • Manage MCP Server Details
    Define and manage Model Context Protocol (MCP) server details so workflows and AI agents can integrate with external tools and data sources.
  • Manage File Storage
    File storage in MicroTx Workflows provides a centralized way to define and manage local shared storage for files accessed during workflow and agent execution.
  • Manage Cloud Profiles
    Cloud profiles in MicroTx Workflows provide a centralized way to define and manage connections to Oracle Cloud Infrastructure (OCI) services, such as OCI Object Storage.
  • Manage SFTP Profiles
    Define and manage remote SFTP server connection details. Use SFTP profiles to access remote SFTP servers across workflows and tasks.