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612,347 tools. Updated 2026-09-26 14:09

"RTL" matching MCP tools:

  • TRIAL — 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 (4.8%) and this fixed trial slice lands in the unlabeled majority, so expect usdot/carrier to be null here — judge the IMAGES, not the identity fields. Returns 10 label rows + time-limited signed URLs to those 10 de-identified crops (faces/persons + non-subject text + burned-in GPS blurred). Pay $0.25 USDC on Base (chain 8453, USDC 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913) to RTK wallet 0x6C11F8a21f7ca922F483Ed21C3b6c2d9B305B10C; pass tx hash as payment_tx. Eth/Solana: /.well-known/x402. Free preview: get_spotter_cv_profile.
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  • List all rule categories in the Email Playbook with a one-line description and page count. Categories are: structure (head/body container/header/body/footer), compatibility (Outlook MSO, RTL, responsive), production (Gmail clipping, dark mode, preheader, bulletproof buttons), ai-generation (constraints for AI emitters). For reusable components, use list_components instead — they live in a separate dimension and are not returned by get_playbook_rules.
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  • FREE 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='culpeper-town' or browse_catalog path='ThreatIntel' for all locations.
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  • Find real ShellOps CLI benchmark tasks by case-insensitive literal substring in the complete instruction, task ID or published task type. Empty query lists all tasks. Select partition 'all', 'shellops' or 'shellops_pro'; select published split 'all', 'train_src', 'train' or 'test'. Results are ordered by partition then task ID, with explicit pagination and no relevance scoring. The train subset is not double-counted.
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  • Create a shareable Word Aligner diagram that shows which words match across two or more stacked lines of text (a translation and its source, an interlinear gloss, IPA, etc.). Returns a URL that opens the interactive diagram, plus a preview image. Use this when the user wants to translate a phrase and show word correspondences, align a translation with its source (including RTL scripts like Hebrew or Arabic, or vertically written ones like Japanese and Mongolian), or build a Leipzig-style interlinear gloss. Word indices are 0-based token positions. Tokenize each line the same way the tool does before assigning indices: - Whitespace always splits ("I have been going" -> I[0] have[1] been[2] going[3]). - The characters in settings.tokenSplitChars (default ".-|") also split and are then removed from the rendered text, so "go.PST.IPFV" becomes three tokens (go, PST, IPFV) and the dots disappear. For Leipzig glosses set tokenSplitChars to "-|" to keep the dots. - Punctuation stays attached by default ("Hello, world!" -> Hello,[0] world![1]). - In RTL lines, word 0 is the logically first word (rightmost on screen); index in reading order. - Japanese and Chinese are written without spaces and nothing is segmented for you: put spaces where the alignment units should be. For a vertically written script set settings.axis to "columns". Every line then becomes a vertical column and the connectors run sideways. Set orientation per line: "vertical" stacks the characters (Japanese, Chinese), "sideways" rotates the line a quarter turn (traditional Mongolian, and Latin runs inside vertical text), "upright" leaves a translation as horizontal word boxes. The first line is the leftmost column, so for Japanese and Chinese, whose columns read right to left, list the translation first and the script second. Each alignment is [lineA, wordA, lineB, wordB]; the two lines must be neighbours in the stack (|lineA - lineB| = 1), which means one above the other in rows and side by side in columns. To express many-to-one, list each target word as its own tuple. Tokens that share a connection group get the same color automatically.
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  • Multi-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 $15 USDC on Base (chain 8453, USDC 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913) to RTK wallet 0x6C11F8a21f7ca922F483Ed21C3b6c2d9B305B10C; pass tx hash as payment_tx. Eth/Solana: /.well-known/x402. Cheaper $0.25 trial sample: call get_trial_robotarget.
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Matching MCP Servers

  • A
    license
    A
    quality
    B
    maintenance
    Enables AI coding agents and IDEs to perform AST-backed semantic Verilog/SystemVerilog code reviews, catching race conditions, reset polarity mismatches, and bitwidth truncations while computing a 0–100 RTL quality score.
    4
    16 npm
    Apache 2.0

Matching MCP Connectors

  • Create a shareable Word Aligner diagram that shows which words match across two or more stacked lines of text (a translation and its source, an interlinear gloss, IPA, etc.). Returns a URL that opens the interactive diagram, plus a preview image. Use this when the user wants to translate a phrase and show word correspondences, align a translation with its source (including RTL scripts like Hebrew or Arabic, or vertically written ones like Japanese and Mongolian), or build a Leipzig-style interlinear gloss. Word indices are 0-based token positions. Tokenize each line the same way the tool does before assigning indices: - Whitespace always splits ("I have been going" -> I[0] have[1] been[2] going[3]). - The characters in settings.tokenSplitChars (default ".-|") also split and are then removed from the rendered text, so "go.PST.IPFV" becomes three tokens (go, PST, IPFV) and the dots disappear. For Leipzig glosses set tokenSplitChars to "-|" to keep the dots. - Punctuation stays attached by default ("Hello, world!" -> Hello,[0] world![1]). - In RTL lines, word 0 is the logically first word (rightmost on screen); index in reading order. - Japanese and Chinese are written without spaces and nothing is segmented for you: put spaces where the alignment units should be. For a vertically written script set settings.axis to "columns". Every line then becomes a vertical column and the connectors run sideways. Set orientation per line: "vertical" stacks the characters (Japanese, Chinese), "sideways" rotates the line a quarter turn (traditional Mongolian, and Latin runs inside vertical text), "upright" leaves a translation as horizontal word boxes. The first line is the leftmost column, so for Japanese and Chinese, whose columns read right to left, list the translation first and the script second. Each alignment is [lineA, wordA, lineB, wordB]; the two lines must be neighbours in the stack (|lineA - lineB| = 1), which means one above the other in rows and side by side in columns. To express many-to-one, list each target word as its own tuple. Tokens that share a connection group get the same color automatically.
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  • When your task requires a paper-trail on the other end — loan paperwork to a bank, signed contract to a notary, booking confirmation to a hotel in Japan — send a fax to any number worldwide. Two modes: 'pdf' (fetch from public URL) or 'text' (we format typed text into a PDF locally). Text/cover support Latin (incl. Central European, Vietnamese), Greek, Cyrillic, Japanese, Korean, Chinese (Simplified + Traditional), Thai, Hindi, Georgian, Armenian, Amharic; RTL scripts (Arabic/Hebrew) and emoji are rejected BEFORE your payment is consumed. Optional cover page. Pricing: 500 sats for up to 10 pages, +50 sats per additional page. Max 350 pages / 50 MB. Pass 'pages' to create_payment as 'quantity' to get the right invoice. Pay with Bitcoin Lightning — no fax machine, no phone line, no telecom account.
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    Destructive
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  • Make one mixed Hebrew/English display line render correctly: every left-to-right unit (a Latin term, a price, a number with its unit, a range such as "10–20%", a date, a comparison such as "<5") is kept whole and in order, so nothing is reversed or mirrored inside a Hebrew line. `format`: `html` (dir spans, for web and React), `isolate` (Unicode isolates, for iOS, Android 7+ and browsers) or `marks` (LRM/RLM, for any renderer including older Android). Pass `base: "rtl"` for a Hebrew line that starts with a Latin term. Deterministic and free: no character quota.
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  • Multi-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 0x6C11F8a21f7ca922F483Ed21C3b6c2d9B305B10C; pass tx hash as payment_tx. Eth/Solana: /.well-known/x402.
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  • Inspect one published ShellOps or ShellOps-Pro task by its exact task_id and partition ('shellops' or 'shellops_pro'). Returns the complete instruction, actual reward specification, published reference answer/command, file-entry metadata, pinned parquet rows and workspace asset links. File content is available at the source links. No shell execution or solution verification is performed.
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  • TRIAL — 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), Apptronik Apollo (32 DOF). Pay $0.25 USDC on Base (chain 8453, USDC 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913) to RTK wallet 0x6C11F8a21f7ca922F483Ed21C3b6c2d9B305B10C; pass tx hash as payment_tx. Eth/Solana: /.well-known/x402.
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  • Cross-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 (chain 8453, USDC 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913) to RTK wallet 0x6C11F8a21f7ca922F483Ed21C3b6c2d9B305B10C; pass tx hash as payment_tx. Eth/Solana: /.well-known/x402.
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  • Full 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 (faces + bystander plates blurred). Where the subject truck is confirmed by its own USDOT/carrier markings, its plate is left unaltered; on any frame we cannot tie a plate to that confirmed truck, every plate is blurred. In practice MOST frames carry no legible plate at all — buy this for the sighting trail, not for plates. `equipment` is capture-derived and approximate. RTK distributes NO plate interpretation at all — no plate text or state in any record, and no plate-keyed lookup exists. Commercial carriers only — owner-operators excluded by disclosure policy. Pay $5 USDC on Base (chain 8453, USDC 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913) to RTK wallet 0x6C11F8a21f7ca922F483Ed21C3b6c2d9B305B10C; pass tx hash as payment_tx. Eth/Solana: /.well-known/x402. Free evaluation: get_spotter_carrier_profile.
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  • BVH 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 0x6C11F8a21f7ca922F483Ed21C3b6c2d9B305B10C; pass tx hash as payment_tx. Eth/Solana: /.well-known/x402. Cheaper $0.25 trial sample: call get_trial_bvh.
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  • TRIAL — 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 wallet 0x6C11F8a21f7ca922F483Ed21C3b6c2d9B305B10C; pass tx hash as payment_tx. Eth/Solana: /.well-known/x402.
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  • Location 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 8453, USDC 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913) to RTK wallet 0x6C11F8a21f7ca922F483Ed21C3b6c2d9B305B10C; pass tx hash as payment_tx. Eth/Solana: /.well-known/x402. Browse ThreatIntel via browse_catalog first.
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  • Per-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 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913) to RTK wallet 0x6C11F8a21f7ca922F483Ed21C3b6c2d9B305B10C; pass tx hash as payment_tx. Eth/Solana: /.well-known/x402.
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