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Otto

Otto MCP Documentation

Platform

Otto MCP

Otto's Model Context Protocol (MCP) server enables businesses to automate processes with intelligent AI-powered digital workers. Connect AI agents and systems to streamline workflows, boost productivity, and transform operations.

Install Otto MCP Server in Cursor

Prerequisites

  1. Cursor IDE installed (latest version)
  2. Otto API Token with appropriate scopes
  3. For local installation: Docker installed and running

Remote Server Setup (Recommended)

Uses Otto's hosted server at https://api.otto.dev/mcp/. Requires Cursor v0.48.0+ for Streamable HTTP support. While Cursor supports OAuth for some MCP servers, the Otto server currently requires an API Token.

Install steps

  1. Click the install button above and follow the flow, or go directly to your global MCP configuration file at ~/.cursor/mcp.json and enter the code block below
  2. In Tools & Integrations > MCP tools, click the pencil icon next to "otto"
  3. Replace YOUR_OTTO_TOKEN with your actual Otto API Token
  4. Save the file
  5. Restart Cursor

Streamable HTTP Configuration

{
  "mcpServers": {
    "otto": {
      "url": "https://api.otto.dev/mcp/",
      "headers": {
        "Authorization": "Bearer YOUR_OTTO_TOKEN"
      }
    }
  }
}

Actions

Available MCP actions and their usage

Tools

list_automations- List currently active automations
run_automation- Trigger the execution of a specific automation
automation_id: The unique identifier of the automation to run (string, required)
inputs: Optional input parameters for the automation (object, optional)
query_audit_trail- Query audit trail data, including errors, exceptions, and successful runs
automation_id: The automation ID to query audit trail for (string, required)
status: Filter by execution status (success, error, running) (array, optional)
limit: Maximum number of results to return (number, optional)
start_date: Start date for the query range (ISO 8601 format) (string, optional)
end_date: End date for the query range (ISO 8601 format) (string, optional)

Roadmap

Upcoming Features
Action support for creating or pausing automations
Webhook and event-streaming for real-time automation status
LangChain, OpenAI Assistants, and Zapier integrations