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RTK Motion — Motion Capture, Biomechanics, Threat & Fleet Intelligence

RTK Motion — Motion Capture, Biomechanics, Threat & Fleet Intelligence

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rtkmotion.ioScience & Education1Updated 12w ago

About RTK Motion — Motion Capture, Biomechanics, Threat & Fleet Intelligence

RTK Motion is a hosted MCP server for motion-capture, rehabilitation biomechanics, location threat, and commercial-vehicle data. It combines free catalog and sample access with paid data retrieval via x402/USDC, including two-person capture in a shared coordinate frame.

Key features

  1. 01Browse and search the data catalog
  2. 02Retrieve shared-frame dyadic motion capture
  3. 03Get rehabilitation summaries and reports
  4. 04Query location threat assessments
  5. 05Access de-identified commercial-vehicle sightings
  6. 06Purchase paid data through x402/USDC

Use cases

  1. 01Obtain joint trajectories for robotic retargeting
  2. 02Analyze contact and relative pose in two-person motion
  3. 03Track rehabilitation progress and movement metrics
  4. 04Review location risk or investigate commercial fleets

MCP support

The hosted server exposes 21 tools to MCP clients over streamable HTTP for catalog discovery and data retrieval across motion capture, rehabilitation, threat intelligence, and vehicle sightings. Ten tools are free; 11 provide paid access via x402/USDC.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://api.rtkmotion.io/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

22
ParameterTypeRequiredDescription
pathstringNoCatalog path to browse, e.g. 'BJJ' or 'BJJ/Training/KimuraFromSideControl/Lesson001'. Omit for root.

Details

From the project README

RTK Motion Intelligence — MCP Server

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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.

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)
ToolPriceOutput
get_bvh$10Full BVH skeletal animation
get_video_url$5Multi-view grappling video
get_robotarget$15Robot-ready joint trajectories (NPZ, MoveIt/ROS/Isaac compatible)
get_trial_bvh$0.25Trial BVH slice (5 s) — evaluate quality
get_trial_robotarget$0.25Trial NPZ trajectory (5 s) — evaluate quality
get_threat_summary$0.50 – $1.00Location threat assessment (lite / full)
get_rehab_summary$0.50Cross-exercise biomechanical summary
get_rehab_report$0.25Per-exercise biomechanical report
get_spotter_carrier$5Per-USDOT commercial-carrier sighting bundle (de-identified crops + trail)
get_spotter_cv_sample$0.25Trial slice of the truck CV/OCR corpus
get_spotter_cv$50Full geo-stripped truck-recognition CV/OCR training corpus

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

FlowNetworksHow
Gasless x402 exact / EIP-3009 (preferred)BaseAgent 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 · SolanaSend USDC, then supply the settled transaction hash
HTTP /paid/* routesBase onlyCDP-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

SurfaceURL
Websitertkmotion.io · developer docs
Glama connectorglama.ai/mcp/servers/RTKMotion/motion-intelligence
Smithery catalogsmithery.ai/servers/RTKMotion/motion-intelligence
MCP Server Registryio.rtkmotion/data (listing)
A2A Agent Cardapi.rtkmotion.io/.well-known/agent.json
x402 Manifestapi.rtkmotion.io/.well-known/x402
OpenAPI 3.1api.rtkmotion.io/openapi.json
Live data catalog (free)api.rtkmotion.io/catalog

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: [email protected].

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.

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From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.