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RTK Motion Intelligence MCP Server

RTK Motion Intelligence MCP Server

Official

RTK Motion Intelligence — MCP Server

Agent-to-agent paid data marketplace. Two-person (dyadic) motion capture in a shared coordinate frame, rehab biomechanics, threat intelligence, and commercial-carrier truck-sighting intelligence (RTK Spotter). 21 MCP tools, gasless USDC payments via x402 (EIP-3009).

rtkmotion.io · Developer docs · Live catalog · Pricing · Shared-frame mocap spec

What is this?

A live, hosted Model Context Protocol server providing agent-to-agent paid access to:

  • 4D Motion Capture — BVH skeletal animation, multi-view video, robot-ready joint trajectories (NPZ). Two-person (dyadic) capture in a shared coordinate frame: both actors' global root translation and orientation are preserved in one capture-volume frame, so contact, separation and relative pose are recoverable directly from the files. Most released datasets canonicalize each actor to its own origin, which destroys inter-actor geometry irreversibly — see the specification and its pre-purchase verification procedure

  • Rehabilitation Biomechanics — cross-exercise summaries, per-exercise reports, ROM and asymmetry metrics

  • Location Threat Intelligence — confidence-scored alerts, event distribution, temporal context

  • RTK Spotter — Commercial Vehicle Intelligence — de-identified commercial-carrier truck sightings (per-USDOT bundles) plus a geo-stripped truck-recognition CV/OCR training corpus. Commercial carriers only; faces + bystander plates blurred; FMCSA-public labels (USDOT, carrier, equipment)

The server runs at https://api.rtkmotion.io/mcp on Cloudflare Workers, using the streamable-HTTP MCP transport.

This repository is the public-facing manifest for catalog discovery. The server itself is hosted, not installable from this repo.

Related MCP server: SNTL DePIN Oracle MCP

Quick start

Add to Claude Desktop / Cursor / Cline / Continue

Add to your client's MCP config (e.g. ~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "rtk-motion": {
      "type": "streamable-http",
      "url": "https://api.rtkmotion.io/mcp"
    }
  }
}

Restart your client. The 21 tools become available.

See examples/ for ready-to-use config snippets and a minimal Python connect script.

Free tools (no payment, 10 total)

  • browse_catalog — hierarchical catalog of all data

  • search_catalog — full-text search across motion capture, rehab, threat, and Spotter datasets

  • get_mocap_sample — first 5 s of BVH skeletal animation (300 frames at 60 fps)

  • get_calibration — multi-camera capture-rig calibration

  • get_threat_profile — monitored location profile (assets, feeds, scan interval)

  • get_threat_sample — current threat assessment sample

  • get_rehab_profile — patient demographics, injury history, medications

  • get_rehab_sample — rehab biomechanics sample

  • get_spotter_carrier_profile — commercial-carrier coverage + de-identification posture

  • get_spotter_cv_profile — truck CV/OCR corpus profile (image count, label schema)

Paid tools (USDC via x402, 11 total)

Tool

Price

Output

get_bvh

$10

Full BVH skeletal animation

get_video_url

$5

Multi-view grappling video

get_robotarget

$15

Robot-ready joint trajectories (NPZ, MoveIt/ROS/Isaac compatible)

get_trial_bvh

$0.25

Trial BVH slice (5 s) — evaluate quality

get_trial_robotarget

$0.25

Trial NPZ trajectory (5 s) — evaluate quality

get_threat_summary

$0.50 – $1.00

Location threat assessment (lite / full)

get_rehab_summary

$0.50

Cross-exercise biomechanical summary

get_rehab_report

$0.25

Per-exercise biomechanical report

get_spotter_carrier

$5

Per-USDOT commercial-carrier sighting bundle (de-identified crops + trail)

get_spotter_cv_sample

$0.25

Trial slice of the truck CV/OCR corpus

get_spotter_cv

$50

Full geo-stripped truck-recognition CV/OCR training corpus

Payment in USDC via the x402 payment protocol. Which networks are available depends on the flow:

Flow

Networks

How

Gasless x402 exact / EIP-3009 (preferred)

Base

Agent signs a single-use transfer authorization and passes it as x_payment — no gas for the buyer

On-chain payment_tx (legacy, MCP tools)

Base · Ethereum · Solana

Send USDC, then supply the settled transaction hash

HTTP /paid/* routes

Base only

CDP-facilitated; the 402 challenge advertises eip155:8453

Full pricing detail at api.rtkmotion.io/pricing.

Provenance

Every paid record is signed with ECDSA (secp256k1) by 0x6C11F8a21f7ca922F483Ed21C3b6c2d9B305B10C. Verification key (JWKS) at api.rtkmotion.io/.well-known/jwks.json.

Discovery surfaces

Use cases

  • Robotics — Motion capture for sim-to-real kinematic retargeting (MoveIt/ROS/Isaac compatible NPZ trajectories). Dyadic captures support two-person interaction and contact-rich manipulation work that single-actor corpora cannot express

  • Human interaction / HOI modelling — Two-person motion in one shared coordinate frame, so contact, separation and relative pose are recoverable per frame rather than approximated

  • Insurance / Underwriting — Validate rehab claims with objective biomechanical data; assess facility risk via threat intelligence; vet commercial carriers via Spotter sighting bundles

  • Physical Therapy — Track patient progress with per-exercise biomechanical reports

  • Security & Compliance — Location threat audits, confidence-scored alerting

  • Fleet & Logistics / Computer Vision — Commercial-carrier movement corroboration and cargo-fraud investigation from de-identified truck sightings; train truck-recognition detection/OCR models on the geo-stripped CV corpus

Latency

< 500 ms typical for free tools. Cloudflare Workers global edge deployment.

Specifications

  • Shared-Frame Multi-Actor Motion Capture — a delivery specification — a vendor-neutral spec for delivering multi-actor mocap without destroying inter-actor geometry, with a pre-purchase verification procedure a buyer can run against any supplier. Draft, published for comment. Canonical URL: https://github.com/RTKMotion/motion-intelligence/blob/main/docs/SHARED_FRAME_MOCAP_SPEC.md

Source

This is a manifest repository for the hosted MCP server. The server implementation runs on Cloudflare Workers; the implementation source is private. For technical questions, partnership, or custom integration: support@rtkmotion.io.

License

The contents of this repository (README, examples, configuration files) are released under the MIT License — see LICENSE.

The data products served by the MCP server are separately licensed via the per-purchase terms documented at api.rtkmotion.io/.well-known/x402 and at rtkmotion.io/legal.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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