RTK Motion Intelligence — MCP Server

MCP serverSecurity

This integration connects your AI to motion and security data tools covering motion capture, rehab biomechanics, threat intelligence, and fleet vision. Once added, your AI can analyze movement and security data across 21 tools, with 10 free and the rest paid through x402 or USDC.

Use RTK Motion Intelligence — MCP Server in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add RTK Motion Intelligence — MCP Server and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use RTK Motion Intelligence to browse catalog

Details

Available today. Use it from your connected AI after setup.

After adding it, ask your AI to examine the data you have, such as motion capture recordings or threat intel. Ten tools are free to try, and paid tools are handled through x402 or USDC.

RTK Motion Intelligence — MCP ServerStart free

What your AI can do with it

  • Analyze motion capture data
  • Evaluate rehab biomechanics
  • Gather threat intelligence
  • Work with fleet vision data
  • Start with 10 free tools and pay for the rest via x402 or USDC

Install RTK Motion Intelligence — MCP Server

The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user rtk-motion-intelligence-mcp-serv 'https://api.rtkmotion.io/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://api.rtkmotion.io/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=rtk-motion-intelligence-mcp-serv&config=eyJ1cmwiOiJodHRwczovL2FwaS5ydGttb3Rpb24uaW8vbWNwIn0=

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://api.rtkmotion.io/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add rtk-motion-intelligence-mcp-serv --url 'https://api.rtkmotion.io/mcp'

    Run it once, then sign in with codex mcp login rtk-motion-intelligence-mcp-serv if the server asks for an account.

From the project's README

As published by rtkmotion/motion-intelligence in README.md.

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: 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.

Tools it offers (21)

What this server listed when Ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.

  • browse_catalog
  • get_bvh
  • get_video_url
  • get_robotarget
  • get_trial_bvh
  • get_trial_robotarget
  • search_catalog
  • get_threat_summary
  • get_threat_profile
  • get_rehab_summary
  • get_rehab_report
  • get_rehab_profile
  • get_threat_sample
  • get_rehab_sample
  • get_mocap_sample
  • get_calibration
  • get_spotter_carrier_profile
  • get_spotter_carrier
  • get_spotter_cv_profile
  • get_spotter_cv
  • get_spotter_cv_sample

Signals

GitHub stars
1
Last commit
Aug 2026
Advanced
Delivery
data MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
io-rtkmotion-data
Source
github.com/rtkmotion/motion-intelligence
Hosted endpoint
https://api.rtkmotion.io/mcp