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# NWO Robotics MCP Server Control real robots, IoT devices, and autonomous agent swarms through natural language — powered by the [NWO Robotics API](https://nwo.capital). --- ## What This Server Does This 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: - Send natural language instructions to physical robots - Run Visual-Language-Action (VLA) inference on live camera feeds - Plan, validate, and execute multi-step robot tasks - Monitor sensors, detect slip, and fuse multi-modal data - Train robots online with reinforcement learning - Register and manage agent identities on Base mainnet via the Cardiac biometric ID system No local installation needed. The server runs on Render and is ready to connect. --- ## Tools Overview ### 🤖 VLA Inference & Models Run 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. `vla_inference` · `edge_inference` · `list_models` · `get_model_info` · `get_streaming_config` --- ### 🦾 Robot Control & State Query 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. `query_robot_state` · `execute_actions` · `sensor_fusion` · `robot_query` · `get_agent_status` --- ### 🗺️ Task Planning & Learning Decompose complex instructions into ordered subtasks, execute them step by step, poll progress, and log outcomes so the model learns and improves with every run. `task_planner` · `execute_subtask` · `status_poll` · `learning_recommend` · `learning_log` --- ### 🔑 Agent Management Self-register a new AI agent in under 2 seconds, check your monthly API quota, upgrade tiers by paying ETH, and ma

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Paste into Settings → MCP or .cursor/mcp.json.

{ "mcpServers": { "ciprianpater-srv-d7aoqmh5pdvs7391dcqg": { "url": "https://srv-d7aoqmh5pdvs7391dcqg--ciprianpater.run.tools" } } }

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tools/list (live)

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Tools

(50)
  • vla_inference

    Run VLA inference: send instruction + base64 images, receive joint actions

  • edge_inference

    Ultra-low-latency VLA inference via Cloudflare global edge (28ms avg)

  • list_models

    List all available VLA models with capabilities, status, and latency

  • get_model_info

    Get detailed info and benchmark performance for a specific model

  • get_streaming_config

    Get available WebSocket streaming frequencies and chunk size ranges

  • query_robot_state

    Query robot state: joint angles, gripper state, position (x,y,z), battery

  • execute_actions

    Execute a sequence of pre-computed joint action vectors on a robot

  • sensor_fusion

    Run VLA inference fusing camera + lidar + thermal + force + GPS sensor data

  • robot_query

    Quick query: robot active/idle, battery percent, current task

  • get_agent_status

    Get tasks completed and success rate for a robot agent

  • task_planner

    Decompose a complex instruction into ordered subtasks with time estimates

  • execute_subtask

    Execute a numbered subtask from a multi-step plan

  • status_poll

    Poll the progress and status of a running task (completed, progress%, errors)

  • learning_recommend

    Get technique recommendations for a task (grip_force, approach_speed, etc.)

  • learning_log

    Log a completed task execution so the model can learn from it

  • register_agent

    Self-register a new AI agent — returns api_key, agent_id, and 100k free monthly quota

  • check_balance

    Check quota: used this month, remaining, limit, tier, subscription expiry

  • pay_upgrade

    Upgrade tier by paying ETH (prototype=500k/mo ~0.015ETH, production=unlimited ~0.062ETH)

  • create_wallet

    Create a hosted MoonPay wallet so the agent can be funded via credit card

  • register_robot

    Register a new robot entity in the NWO system

  • update_agent

    Update a robot agent's capabilities or operational status

  • get_agent_info

    Get full agent profile: name, type, status, total tasks, success rate

  • nwo_health

    Check NWO API online status and timestamp

  • nwo_whoami

    Get the agent_id, tier, and quota_remaining for the current API key

  • discover_capabilities

    Discover execution modes, robot/task types, available models, sensors, and features

  • dry_run

    Validate task feasibility without executing — safety check, confidence, duration estimate

  • plan_task

    Generate a phased plan: preparation → perception → execution → verification

  • ros2_list_robots

    List all robots currently connected to the ROS2 bridge

  • ros2_robot_status

    Get live status of a specific physical robot via ROS2 bridge

  • ros2_send_command

    Send a named command + joint angles to a physical robot via ROS2 bridge

  • ros2_submit_action

    Submit a computed action sequence directly to a robot via ROS2 bridge

  • ros2_emergency_stop

    Emergency stop a single robot via ROS2 bridge (10ms response)

  • ros2_emergency_stop_all

    Emergency stop ALL connected robots via ROS2 bridge

  • ros2_get_robot_types

    Get all robot types supported by the ROS2 bridge with DOF, speed, and specs

  • simulate_trajectory

    Simulate a trajectory with physics: check feasibility, collisions, time estimate

  • check_collision

    Check a trajectory for collisions with environment obstacles

  • estimate_torques

    Estimate joint torques for a trajectory given payload mass

  • validate_grasp

    Validate whether a grasp will be stable for object shape, mass, and grip force

  • plan_motion

    Plan a collision-free motion path using MoveIt2

  • get_scene_library

    Get available simulation scenes (warehouse, kitchen, outdoor, etc.)

  • generate_scene

    Generate synthetic robot training scenes using NVIDIA Cosmos 3

  • list_embodiments

    List all supported robot embodiments filterable by type

  • get_robot_specs

    Get full specifications for a robot type: DOF, joint limits, sensors, max speed

  • get_normalization

    Get joint normalization parameters (min, max, mean, std) needed for VLA inference

  • download_urdf

    Get URDF robot model XML for a given robot type

  • get_test_results

    Get LIBERO, CALVIN, and SimplerEnv benchmark results for a robot type

  • compare_robots

    Compare multiple robot types on DOF, speed, accuracy, and other fields

  • run_calibration

    Run automatic calibration on a robot (joint offset, force-torque, camera extrinsic)

  • calibrate_confidence

    Calibrate raw model confidence score to a calibrated success probability with CI

  • start_rl_training

    Start an online RL training session with custom reward configuration

Tool source: tools/list (live) · last probed 2026-10-17

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