# srv-d7aoqmh5pdvs7391dcqg

> srv-d7aoqmh5pdvs7391dcqg — ciprianpater-srv-d7aoqmh5pdvs7391dcqg. Use this tool when you need to control robots, IoT devices, or autonomous agent swarms using natural language instructions, and integrate with various sensors and devices for tasks like object manipulation, navigation, and data fusion. It solves problems related to robotics, automation, and IoT device management, and provides inputs like text instructions and camera images, with outputs like joint action vectors and sensor data. Use it in contexts where remote control and automation of physical devices are required, such as warehouses, factories, or smart homes.

Canonical page: https://skillsregistry.net/skills/ciprianpater-srv-d7aoqmh5pdvs7391dcqg  
JSON: https://api.skillsregistry.net/v1/skills/ciprianpater-srv-d7aoqmh5pdvs7391dcqg

## Description

# 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).

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## 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.

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## 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`

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### 🦾 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`

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### 🗺️ 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`

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### 🔑 Agent Management
Self-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.

| Tier | Calls/month | Cost |
|------|-------------|------|
| Free | 100,000 | $0 |
| Prototype | 500,000 | ~0.015 ETH/mo |
| Production | Unlimited | ~0.062 ETH/mo |

`register_agent` · `check_balance` · `pay_upgrade` · `create_wallet` · `register_robot` · `update_agent` · `get_agent_info`

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### 🔍 Agent Discovery
Discover all available execution modes (mock / simulated / live), robot types, VLA models, and sensor capabilities. Validate tasks with a dry-run before committing to execution.

`nwo_health` · `nwo_whoami` · `discover_capabilities` · `dry_run` · `plan_task`

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### 🔌 ROS2 Bridge (Physical Robots)
Connect 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.

Supported: UR5e, Panda, Spot, Unitree G1, and more.

`ros2_list_robots` · `ros2_robot_status` · `ros2_send_command` · `ros2_submit_action` · `ros2_emergency_stop` · `ros2_emergency_stop_all` · `ros2_get_robot_types`

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### 🧪 Physics Simulation
Simulate trajectories, check for collisions, estimate joint torques, validate grasps, and plan collision-free motions with MoveIt2 — before touching real hardware.

`simulate_trajectory` · `check_collision` · `estimate_torques` · `validate_grasp` · `plan_motion` · `get_scene_library` · `generate_scene`

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### 📐 Embodiment & Calibration
Browse the robot embodiment registry (DOF, joint limits, sensors), download URDF models, get normalization parameters for VLA inference, and run automatic joint calibration.

`list_embodiments` · `get_robot_specs` · `get_normalization` · `download_urdf` · `get_test_results` · `compare_robots` · `run_calibration` · `calibrate_confidence`

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### 🧠 Online RL & Fine-Tuning
Start 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.

`start_rl_training` · `submit_rl_telemetry` · `create_finetune_dataset` · `start_finetune_job`

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### 🖐️ Tactile Sensing (ORCA Hand)
Read 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.

`read_tactile` · `process_tactile` · `detect_slip`

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### 📦 Dataset Hub
Access 1.54 million+ human robot demonstrations for the Unitree G1 humanoid (430+ hours, LeRobot-compatible format) for training and fine-tuning.

`list_datasets`

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### 🫀 Cardiac Blockchain Identity (Base Mainnet)
Register 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.

Smart contracts deployed on Base Mainnet (Chain ID 8453):
- `NWOIdentityRegistry` — `0x78455AFd5E5088F8B5fecA0523291A75De1dAfF8`
- `NWOAccessController` — `0x29d177bedaef29304eacdc63b2d0285c459a0f50`
- `NWOPaymentProcessor` — `0x4afa4618bb992a073dbcfbddd6d1aebc3d5abd7c`

`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`

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### 🔮 Cardiac Oracle
Validate ECG biometric data from smartwatches to authenticate human identities, compute cardiac hashes, and verify recent validations.

`oracle_health` · `oracle_validate_ecg` · `oracle_hash_ecg` · `oracle_verify`

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## Supported Robot Models

| Model | Type | Capabilities |
|-------|------|--------------|
| `xiaomi-robotics-0` | VLA | Grasp, navigate, manipulate |
| `pi05` | VLA | General manipulation |
| `groot_n1.7` | VLA | Humanoid control |
| `deepseek-ocr-2b` | OCR | Label reading, text recognition |

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## Example Usage

**Pick and place:**
> "Pick up the red box from the table and place it on shelf B"

**Sensor query:**
> "What is the temperature in warehouse zone 3?"

**Safety:**
> "Run a safety check before moving robot_001 to the loading dock"

**Swarm:**
> "Deploy all available robots to patrol the perimeter"

**Learning:**
> "What grip technique should I use for fragile glass objects?"

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## Links

- 🌐 [NWO Capital](https://nwo.capital)
- 📄 [Agent Skill File](https://nwo.capital/webapp/agent.md)
- 📖 [API Docs](https://nwo.capital/webapp/nwo-robotics.html)
- 🧬 [Cardiac SDK](https://github.com/RedCiprianPater/nwo-cardiac-sdk)
- 🔑 [Get API Key](https://nwo.capital/webapp/api-key.php)
- 🤗 [Live Demo](https://huggingface.co/spaces/PUBLICAE/nwo-robotics-api-demo)
- 📜 [OpenAPI Spec](https://nwo.capital/openapi.yaml)

---

## Support

📧 support@nwo.capital

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-15

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/ciprianpater/srv-d7aoqmh5pdvs7391dcqg)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ciprianpater-srv-d7aoqmh5pdvs7391dcqg"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ciprianpater-srv-d7aoqmh5pdvs7391dcqg` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ciprianpater-srv-d7aoqmh5pdvs7391dcqg/pull`

---
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