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Inject verified FTC docs and examples to generate competition-ready Java robot code.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ftc-mcp" yet — see the docs or source repo.
Using official FTC documentation and examples, write a Java Autonomous OpMode for a four-wheel mecanum robot: drive forward 24 inches, strafe right 12 inches, detect an AprilTag, then stop. Explain which official APIs are used and where they come from.
A Java autonomous program grounded in official FTC sources, plus notes on key classes, methods, and documentation references.
The following FTC Java motor control code behaves incorrectly. Use verified FTC documentation to identify the issues, explain the mistakes, and provide a corrected version that can run directly.
An official-doc-based diagnosis, fix recommendations, and a more reliable runnable Java version.
Refer to official FTC documentation and code examples to generate a Java TeleOp sample that reads IMU heading and distance sensor data, displays them in telemetry in real time, and keeps the structure clean for competition use.
A TeleOp sample aligned with FTC official practices, including sensor reads, telemetry output, and structured explanations.
Access FTC Platform data for applications, evaluations, and scoring criteria.
Search FTC and Pedro Pathing resources for robotics coding and development.
Provide AI agents with coding standards, testing, planning, and requirements guidance.
Run MCP tools over stdio or HTTP for time and file hashing.
Verify AI-generated code for quality, security, and performance with more trust.
Connect to the mcp API via MCP to extend AI tool capabilities.