{"schema_version":"verify.report.v1","generated_at":"2026-07-10T22:22:22.989768+00:00","snapshot_id":"trustsnap_4084abac8a26de57","server":{"namespace":"ciprianpater","name":"srv-d7aoqmh5pdvs7391dcqg","title":"srv-d7aoqmh5pdvs7391dcqg","description":"# NWO Robotics MCP Server\n\nControl real robots, IoT devices, and autonomous agent swarms through natural language — powered by the [NWO Robotics API](https://nwo.capital).\n\n---\n\n## What This Server Does\n\nThis MCP server exposes the full NWO Robotics API as 64 ready-to-use tools. Any MCP-compatible AI agent (Claude, ChatGPT, Cursor, etc.) can use it to:\n\n- Send natural language instructions to physical robots\n- Run Visual-Language-Action (VLA) inference on live camera feeds\n- Plan, validate, and execute multi-step robot tasks\n- Monitor sensors, detect slip, and fuse multi-modal data\n- Train robots online with reinforcement learning\n- Register and manage agent identities on Base mainnet via the Cardiac biometric ID system\n\nNo local installation needed. The server runs on Render and is ready to connect.\n\n---\n\n## Tools Overview\n\n### 🤖 VLA Inference & Models\nRun Vision-Language-Action inference on any supported robot. Send a text instruction and camera images, receive joint action vectors in real time. Supports auto model routing, ultra-low-latency Cloudflare edge inference (28ms avg), and WebSocket streaming at up to 50Hz.\n\n`vla_inference` · `edge_inference` · `list_models` · `get_model_info` · `get_streaming_config`\n\n---\n\n### 🦾 Robot Control & State\nQuery live robot state (joint angles, gripper, battery, position), execute pre-computed action sequences, and fuse camera + lidar + thermal + force + GPS sensor inputs into a single inference call.\n\n`query_robot_state` · `execute_actions` · `sensor_fusion` · `robot_query` · `get_agent_status`\n\n---\n\n### 🗺️ Task Planning & Learning\nDecompose complex instructions into ordered subtasks, execute them step by step, poll progress, and log outcomes so the model learns and improves with every run.\n\n`task_planner` · `execute_subtask` · `status_poll` · `learning_recommend` · `learning_log`\n\n---\n\n### 🔑 Agent Management\nSelf-register a new AI agent in under 2 seconds, check your monthly API quota, upgrade tiers by paying ETH, and manage robot registrations and capabilities.\n\n| Tier | Calls/month | Cost |\n|------|-------------|------|\n| Free | 100,000 | $0 |\n| Prototype | 500,000 | ~0.015 ETH/mo |\n| Production | Unlimited | ~0.062 ETH/mo |\n\n`register_agent` · `check_balance` · `pay_upgrade` · `create_wallet` · `register_robot` · `update_agent` · `get_agent_info`\n\n---\n\n### 🔍 Agent Discovery\nDiscover all available execution modes (mock / simulated / live), robot types, VLA models, and sensor capabilities. Validate tasks with a dry-run before committing to execution.\n\n`nwo_health` · `nwo_whoami` · `discover_capabilities` · `dry_run` · `plan_task`\n\n---\n\n### 🔌 ROS2 Bridge (Physical Robots)\nConnect directly to physical robots over the ROS2 bridge. Send joint commands, submit action sequences, and trigger emergency stops on one or all robots within 10ms.\n\nSupported: UR5e, Panda, Spot, Unitree G1, and more.\n\n`ros2_list_robots` · `ros2_robot_status` · `ros2_send_command` · `ros2_submit_action` · `ros2_emergency_stop` · `ros2_emergency_stop_all` · `ros2_get_robot_types`\n\n---\n\n### 🧪 Physics Simulation\nSimulate trajectories, check for collisions, estimate joint torques, validate grasps, and plan collision-free motions with MoveIt2 — before touching real hardware.\n\n`simulate_trajectory` · `check_collision` · `estimate_torques` · `validate_grasp` · `plan_motion` · `get_scene_library` · `generate_scene`\n\n---\n\n### 📐 Embodiment & Calibration\nBrowse the robot embodiment registry (DOF, joint limits, sensors), download URDF models, get normalization parameters for VLA inference, and run automatic joint calibration.\n\n`list_embodiments` · `get_robot_specs` · `get_normalization` · `download_urdf` · `get_test_results` · `compare_robots` · `run_calibration` · `calibrate_confidence`\n\n---\n\n### 🧠 Online RL & Fine-Tuning\nStart online reinforcement learning sessions, stream state/action/reward telemetry, build fine-tuning datasets from logged runs, and launch LoRA fine-tuning jobs on any base VLA model.\n\n`start_rl_training` · `submit_rl_telemetry` · `create_finetune_dataset` · `start_finetune_job`\n\n---\n\n### 🖐️ Tactile Sensing (ORCA Hand)\nRead 256-taxel tactile sensor arrays from the ORCA robot hand, assess grip quality and object texture, and detect slip in real time to prevent dropped objects.\n\n`read_tactile` · `process_tactile` · `detect_slip`\n\n---\n\n### 📦 Dataset Hub\nAccess 1.54 million+ human robot demonstrations for the Unitree G1 humanoid (430+ hours, LeRobot-compatible format) for training and fine-tuning.\n\n`list_datasets`\n\n---\n\n### 🫀 Cardiac Blockchain Identity (Base Mainnet)\nRegister AI agents on Base mainnet and receive a permanent soul-bound Digital ID (`rootTokenId`). Issue verifiable credentials for task authorization, swarm control, location access, and payments — all gasless via the NWO relayer.\n\nSmart contracts deployed on Base Mainnet (Chain ID 8453):\n- `NWOIdentityRegistry` — `0x78455AFd5E5088F8B5fecA0523291A75De1dAfF8`\n- `NWOAccessController` — `0x29d177bedaef29304eacdc63b2d0285c459a0f50`\n- `NWOPaymentProcessor` — `0x4afa4618bb992a073dbcfbddd6d1aebc3d5abd7c`\n\n`cardiac_register_agent` · `cardiac_identify_agent` · `cardiac_renew_key` · `cardiac_issue_credential` · `cardiac_check_credential` · `cardiac_grant_access` · `cardiac_get_nonce` · `cardiac_check_access` · `cardiac_payment_process`\n\n---\n\n### 🔮 Cardiac Oracle\nValidate ECG biometric data from smartwatches to authenticate human identities, compute cardiac hashes, and verify recent validations.\n\n`oracle_health` · `oracle_validate_ecg` · `oracle_hash_ecg` · `oracle_verify`\n\n---\n\n## Supported Robot Models\n\n| Model | Type | Capabilities |\n|-------|------|--------------|\n| `xiaomi-robotics-0` | VLA | Grasp, navigate, manipulate |\n| `pi05` | VLA | General manipulation |\n| `groot_n1.7` | VLA | Humanoid control |\n| `deepseek-ocr-2b` | OCR | Label reading, text recognition |\n\n---\n\n## Example Usage\n\n**Pick and place:**\n> \"Pick up the red box from the table and place it on shelf B\"\n\n**Sensor query:**\n> \"What is the temperature in warehouse zone 3?\"\n\n**Safety:**\n> \"Run a safety check before moving robot_001 to the loading dock\"\n\n**Swarm:**\n> \"Deploy all available robots to patrol the perimeter\"\n\n**Learning:**\n> \"What grip technique should I use for fragile glass objects?\"\n\n---\n\n## Links\n\n- 🌐 [NWO Capital](https://nwo.capital)\n- 📄 [Agent Skill File](https://nwo.capital/webapp/agent.md)\n- 📖 [API Docs](https://nwo.capital/webapp/nwo-robotics.html)\n- 🧬 [Cardiac SDK](https://github.com/RedCiprianPater/nwo-cardiac-sdk)\n- 🔑 [Get API Key](https://nwo.capital/webapp/api-key.php)\n- 🤗 [Live Demo](https://huggingface.co/spaces/PUBLICAE/nwo-robotics-api-demo)\n- 📜 [OpenAPI Spec](https://nwo.capital/openapi.yaml)\n\n---\n\n## Support\n\n📧 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