Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.superwire.dev/llms.txt

Use this file to discover all available pages before exploring further.

MCP gives Superwire workflows access to external capabilities. In practice, MCP is where your workflow connects to real systems: APIs, databases, internal services, and curated prompt or content sources. Use this section as the mental model:
mcp server -> import capability -> scope with uses -> execute in workflow

Capability types

  • tool: Callable operation, often used for fetch/create/update behavior.
  • resource: Read-only content source.
  • prompt: Reusable prompt template managed by an MCP server.

Two execution modes

Superwire supports two ways to use MCP tools:
  1. Workflow-owned call in dynamic {} using call tool.*.
    • Best for deterministic steps that must always run.
    • Best when runtime values should be bound explicitly.
  2. Model-owned call inside an agent through uses: [tool.*].
    • Best when model judgment decides if a tool is needed.
    • Best for selective retrieval or exploratory reasoning.
  1. Declare MCP servers with endpoint and auth headers.
  2. Import only needed tools/resources/prompts.
  3. Use workflow-owned calls for required operations.
  4. Give agents least-privilege uses access.
  5. Keep outputs typed so downstream steps stay stable.

Example end-to-end shape

input {
    task_id: number
}

secrets {
    mcp_token: string
}

mcp tasks {
    endpoint: "https://tools.internal.example.com/mcp"

    headers {
        Authorization: "Bearer {{ secrets.mcp_token }}"
    }
}

tool fetch_task from mcp.tasks.tool.fetch_task
resource writing_style from mcp.tasks.resource.writing_style

dynamic {
    task: call tool.fetch_task {
        bindings {
            task_id: input.task_id
        }
    }
}

agent writer {
    model: model.fast
    uses: [resource.writing_style]
    instruction: "Write a concise update for {{ dynamic.task.title }}."

    output {
        update: string
    }
}
This pattern keeps deterministic fetches in the workflow and model creativity in the agent.