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srv-d7aoqmh5pdvs7391dcqg

Databases Remote ★ 924 50 tools

# 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

Connect

MCP endpoint

https://srv-d7aoqmh5pdvs7391dcqg--ciprianpater.run.tools

How to connect

Smithery (hosted)

1. Open https://smithery.ai/servers/ciprianpater/srv-d7aoqmh5pdvs7391dcqg
2. Click Connect and complete OAuth in your MCP client (Claude, Cursor, VS Code, etc.)
3. MCP endpoint: https://srv-d7aoqmh5pdvs7391dcqg--ciprianpater.run.tools

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