Robin: AI-Powered Dark Web OSINT
Dark web OSINT over Tor: search onion engines, scrape pages, report with your own model.
作者による説明(英語の原文)
Mocap, rehab biomechanics, threat intel, fleet vision. 21 MCP tools, 10 free. x402/USDC paid.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
ウェブ、デスクトップ、モバイルのClaudeで使えます:
https://api.rtkmotion.io/mcpターミナルでこれを実行します
claude mcp add --transport http data https://api.rtkmotion.io/mcpプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"data": {
"url": "https://api.rtkmotion.io/mcp"
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"data": {
"type": "http",
"url": "https://api.rtkmotion.io/mcp"
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ChatGPTがつなげるのは、インターネット上のサーバーだけです:
https://api.rtkmotion.io/mcpメニューの名前は、プランや時期によって少し違うことがあります。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
このサーバーのつなぎ方と、各アプリの公式ドキュメントに基づきます。2026年11月10日に確認。
インターネット経由でつなげるアプリ
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
ツールの名前と説明は、サーバーが2026年11月11日に返したそのままの内容です。書いたのは作者で、私たちではありません。プレーンテキストとして表示しています。
browse_catalogBrowse hierarchical catalog of motion-capture, threat-intel, and rehab-biomechanics datasets. No path → root categories. Category path → children. Lesson path → file inventory, pricing, and MCP tool names. Free, no payment required.
get_bvhBVH skeletal animation for robotic_grappling_training or imitation_learning. 60 fps, 56-joint hierarchy with 3-segment finger chains, latency <500ms. Pay $10 USDC on Base (chain 8453, USDC 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913) to RTK wallet 0x6C11F8a21f7ca922F483Ed21C3b6c2d
get_video_urlMulti-view grappling video for pose_estimation_training or technique_analysis. 1080p synced cameras, 15-min signed streaming URL with Range support. Pay $5 USDC on Base (chain 8453, USDC 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913) to RTK wallet 0x6C11F8a21f7ca922F483Ed21C3b6c2d9B
get_robotargetMulti-robot joint trajectories (NPZ) for sim_to_real_retargeting or imitation_learning. Platforms: Unitree G1 (43 DOF: 29 body + 14 hand), Unitree H1 (19 DOF), Apptronik Apollo (32 DOF) — specify via robot= param. MoveIt/ROS and Isaac Sim compatible, 60 fps, latency <500ms. Pay $
get_bundleComplete session bundle — EVERY modality for one lesson in a single purchase: all 12 camera views (1080p MP4), BVH skeletal animation for both subjects (60 fps, 56-joint), and robot-ready NPZ joint trajectories for every supported platform (Unitree G1 43 DOF, Unitree H1 19 DOF, A
pay_quotePay for a negotiated quote from the RTK seller agent in one payment, then redeem each item with its normal tool. The quote is a signed token (rtkq1.…) listing items, list prices, the agreed discount (at most 10%) and the total. This tool verifies the quote, takes a single payment
get_trial_bvhTRIAL — 5-second BVH skeletal sample (300 frames @ 60fps) from the Kimura side-control trial lesson. Same format as full $10 get_bvh — use to evaluate data quality before committing. Pay $0.25 USDC on Base (chain 8453, USDC 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913) to RTK walle
get_trial_robotargetTRIAL — 5-second robot-trajectory sample (300 frames @ 60fps NPZ) from the Kimura side-control trial lesson. Same format as full $15 get_robotarget — use to evaluate retargeting quality before committing. Platforms: Unitree G1 (43 DOF: 29 body + 14 hand), Unitree H1 (19 DOF), App
search_catalogFull-text search across motion-capture, threat-intel, and rehab-biomechanics datasets. Matches labels, paths, subject names, techniques. Returns full lesson detail with pricing so you can immediately call purchase tools. Free.
get_threat_summaryLocation threat assessment for risk_underwriting, facility_security_audit, or insurance_risk_modeling. Lite ($0.50): confidence-scored alerts, event distribution. Full ($1.00): + enriched entities, temporal context, corroboration scoring. Latency <200ms. Pay USDC on Base (chain 8
get_threat_profileMonitored location profile — assets, feed types, scan interval, term sets. Free — evaluate coverage and data freshness before purchasing threat assessments for risk_underwriting or security_operations.
get_rehab_summaryCross-exercise biomechanical summary for insurance_claim_validation or rehab_progress_tracking. Bilateral asymmetry indices, ROM for all major joints, fatigue markers, clinical synthesis identifying persistent deficits. JSON + TXT formats. Latency <300ms. Pay $0.50 USDC on Base (
get_rehab_reportPer-exercise biomechanical report for PT_outcome_measurement or medical_insurance_review. CoM stability, rep detection, joint load, bilateral asymmetry, ROM, fatigue markers. JSON + TXT formats. Latency <200ms. Pay $0.25 USDC on Base (chain 8453, USDC 0x833589fCD6eDb6E08f4c7C32D4
get_rehab_profilePatient demographics, injury history, and medications for a rehab case. Free — evaluate case relevance before purchasing biomechanical reports for insurance_claim_validation or PT_outcome_measurement.
get_threat_sampleFREE live threat assessment sample — current threat level, confidence score, event distribution, and scan freshness for a monitored location. Proves data is live and continuously updated. No flagged items or entities (upgrade to get_threat_summary for full detail). Try location='
get_rehab_sampleFREE rehab biomechanics sample — shows the structure and metric categories of a clinical summary without numeric values. Demonstrates data quality and coverage. Upgrade to get_rehab_summary ($0.50) for full numeric data. Try case_path='PhysicalRehab/40-50/Male/LabrumTear'.
get_mocap_sampleFREE motion capture sample — first 5 seconds of BVH skeletal animation (frame count = 5 × lesson fps). Enough to validate format, joint hierarchy, and data quality for sim_to_real_retargeting or action_recognition. Full files are 20–120 seconds ($10 USDC via get_bvh).
get_calibrationFREE multi-camera calibration parameters — intrinsics and extrinsics for the capture rig. Required for any pipeline that reprojects, retriangulates, or renders against the original capture geometry. Returns the .calib file as text.
get_spotter_carrier_profileCommercial-carrier sighting profile — USDOT, FMCSA carrier name, carrier class, sighting + image counts, geo coverage. Free — evaluate a carrier's sighting bundle before purchasing for carrier_identity_verification or cargo_fraud_investigation.
get_spotter_carrierFull commercial-carrier sighting bundle for carrier_identity_verification, fleet_movement_corroboration, or cargo_fraud_investigation. Returns the structured sighting trail (USDOT, carrier, equipment, geo, timestamp) plus time-limited signed URLs to every de-identified truck crop
get_spotter_cv_profileCommercial-truck detection corpus profile — image count, label coverage, de-identification posture. Free — evaluate the training corpus before purchasing for detection_or_ocr_model_training.
get_spotter_cvGeo-stripped commercial-truck image corpus for detection_or_ocr_model_training. 1877 de-identified crops, every one a verified truck (equipment=truck on all 1877). FMCSA-public identity labels (usdot + carrier) are resolved on 90 crops (4.8%) and null on the rest — treat them as
get_spotter_cv_sampleTRIAL — a 10-crop slice of the geo-stripped commercial-truck detection corpus, to evaluate crop + de-identification quality before the full corpus (get_spotter_cv, $50). The corpus sells on verified truck crops; FMCSA-public usdot/carrier are resolved on only 90 of 1877 crops (4.
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月11日にチェック
レジストリ名はドメイン rtkmotion.io で確認済みです(レジストリがドメインの所有を確認しています)
コードの最終更新:3 か月前
このリポジトリはまだGitHubから読み取っていません
306ミリ秒で応答(HTTP 200)
サインイン不要
23件のツールの説明を読み、AIへの隠れた指示は見つかりませんでした
質問、コツの共有、使えないことの報告ができます。「役に立った」の多い順です。
まだレビューはありません
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック4項目のうち4項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
作者のクラウドで動きます。インストール不要でインターネット経由でつながりますが、送った内容は作者のサーバーを通ります。
GitHubリポジトリの最終更新は3 か月前、最新バージョン(1.3.0)がレジストリに届いたのは3 か月前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。
同じカテゴリには:Robin: AI-Powered Dark Web OSINT, HOL Guard, UniFi Network MCP
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:↓ 週あたりのダウンロードi★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Dark web OSINT over Tor: search onion engines, scrape pages, report with your own model.
Local-first AI agent security evidence and approval workflows through HOL Guard's stdio MCP server.
Manage UniFi Network devices, clients, firewall, VLANs, VPNs, and more via MCP.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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](https://www.rtkmotion.io) · Developer docs · Live catalog · Pricing · Shared-frame mocap spec
A live, hosted Model Context Protocol server providing agent-to-agent paid access to:
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.
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.
browse_catalog — hierarchical catalog of all datasearch_catalog — full-text search across motion capture, rehab, threat, and Spotter datasetsget_mocap_sample — first 5 s of BVH skeletal animation (300 frames at 60 fps)get_calibration — multi-camera capture-rig calibrationget_threat_profile — monitored location profile (assets, feeds, scan interval)get_threat_sample — current threat assessment sampleget_rehab_profile — patient demographics, injury history, medicationsget_rehab_sample — rehab biomechanics sampleget_spotter_carrier_profile — commercial-carrier coverage + de-identification postureget_spotter_cv_profile — truck CV/OCR corpus profile (image count, label schema)| 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.
Every paid record is signed with ECDSA (secp256k1) by 0x6C11F8a21f7ca922F483Ed21C3b6c2d9B305B10C. Verification key (JWKS) at api.rtkmotion.io/.well-known/jwks.json.
| Surface | URL |
|---|---|
| Website | rtkmotion.io · developer docs |
| Glama connector | glama.ai/mcp/servers/RTKMotion/motion-intelligence |
| Smithery catalog | smithery.ai/servers/RTKMotion/motion-intelligence |
| MCP Server Registry | io.rtkmotion/data (listing) |
| A2A Agent Card | api.rtkmotion.io/.well-known/agent.json |
| x402 Manifest | api.rtkmotion.io/.well-known/x402 |
| OpenAPI 3.1 | api.rtkmotion.io/openapi.json |
| Live data catalog (free) | api.rtkmotion.io/catalog |
< 500 ms typical for free tools. Cloudflare Workers global edge deployment.
https://github.com/RTKMotion/motion-intelligence/blob/main/docs/SHARED_FRAME_MOCAP_SPEC.mdThis 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.
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.