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Search FTC SDK samples and deploy and debug FTC 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.
Search the FTC SDK for samples related to driving with motor encoders, and explain what each sample is useful for.
A list of relevant FTC SDK samples with short usage notes to quickly identify the right reference implementation.
Generate a basic TeleOp OpMode scaffold for a four-wheel drive robot with IMU initialization, including essential comments.
A starter OpMode code skeleton that can be extended with the robot control logic.
Build the current FTC robot code and deploy it to the REV Control Hub, then read the latest logs and help me find why startup failed.
After build and deployment, key log clues and likely failure causes are provided to support a full debugging loop.
FTC developers or student team members can search SDK samples first and then scaffold an OpMode to speed up the path from idea to runnable code.
After local code changes are ready, users can build and deploy to a REV Control Hub through the tool, reducing manual upload and switching steps.
When an OpMode fails to start or robot behavior is abnormal, users can read robot logs and use the code context to identify the cause.
It is an MCP tool for the FTC robot development workflow. It lets AI agents search FTC SDK samples, scaffold OpModes, build and deploy code to a REV Control Hub, and read robot logs.
From the description, it involves the FTC SDK, OpMode development, and deployment to a REV Control Hub. For exact installation steps, runtime requirements, and configuration details, see the source repository.
It does more than generate code: it covers FTC-specific sample search, OpMode scaffolding, deployment to a REV Control Hub, and robot log reading for a full debugging loop. That makes it closer to the real code-to-robot workflow.
Inject verified FTC docs and examples to generate competition-ready Java robot code.
Access FTC Platform data for applications, evaluations, and scoring criteria.
Manage multi-server file transfers, sync, and directories over FTP, FTPS, and SFTP.
Give AI coding agents filesystem, Git, database, and compute tools via MCP.
Provide AI agents with coding standards, testing, planning, and requirements guidance.
Control Android devices with natural language for UI and system automation.