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Ticos Docs

Overview

This section is for engineering and integration teams who need robot capabilities to be extensible, diagnosable, and verifiable. The Ticos platform provides a suite of advanced tools designed to bridge the gap between high-level AI reasoning and physical hardware execution.

Tool Management Page: MCP Services and External Integrations
Tool Management: Manage all MCP servers and extended capabilities here

Core Capabilities

1. Extend Capabilities

Register and manage MCP (Model Context Protocol) tools. We support multiple integration patterns:

  • SSE (Server-Sent Events): For cloud-to-cloud tool integration.
  • STDIO: For tools running locally on the robot’s onboard computer.
  • Streamable HTTP: For high-performance, long-running tool interactions.

2. Validate Integrations

Use the Lab environment to verify that your tool schemas match the robot’s perception capabilities.

  • Schema Validation: Ensure JSON schemas for tool parameters are correctly interpreted by the LLM.
  • Payload Inspection: View raw request and response payloads to identify data type mismatches or missing fields.

3. Debug & Diagnostics

Real-time tracing of the communication between the Ticos Cloud, the Agent, and physical drivers.

  • Zenoh Tracing: Monitor the underlying message bus for latency or connectivity issues.
  • Stream Diagnostics: Identify why video or sensor streams might be failing to reach Teleops.
  1. Register: Add your custom tools in Tool Integration.
  2. Lab Validation: Verify the message flow and tool-call accuracy in the Real-time Debugger.
  3. Hardware Check: Run pre-release validation on physical hardware using Robot MCP.
  4. AI Alignment: Connect your preferred coding assistants via Working with AI Tools (MCP) to automate build and deployment steps.