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  3. SmartTokenGuard
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SmartTokenGuard

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time — check back soon.
View RepositoryVisit Website

Stop paying for broken AI video renders: QA checks and PASS/RETRY/SWITCH/HALT decisions. Paid plans.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for SmartTokenGuard, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
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Documentation Overview

SmartTokenGuard

English · 简体中文

Stop burning credits on broken AI video.

Every black frame, frozen shot and off-model keyframe is money you already paid for. SmartTokenGuard checks each keyframe and clip from ComfyUI, Kling, Runway, Veo, Hailuo, Seedance or any other AI video tool the moment it renders, and tells your AI assistant whether it's worth paying for the next step: pass it, retry with exact fixes, switch models, or stop spending on that shot.

How much are broken renders costing you? Try the calculator: https://nwjnjjj.github.io/smart-token-guard/

ToolWhat it does
stg_inspect_renderMeasures an image or video: blur and soft focus, over/under-exposure, black frames, frozen segments, flicker, hard cuts, impacts and flashes, and colour/lighting drift against a reference image. Returns review frames so your assistant can check hands, faces and identity.
stg_qa_gateTurns measured issues + what the assistant saw into PASS / RETRY_SAME_MODEL / SWITCH_TO_FALLBACK / HALT / HALT_BUDGET, with concrete fixes (negative-prompt terms, lower motion, new seed). Keeps a spend ledger per project on your computer.
stg_detect_eventsExact frames of impacts, flashes and cuts, for placing sound effects.
stg_spend_reportWhat a project spent, attempts per passed shot, first-try pass rate, keyframes rejected before paying for video.
stg_account, stg_pricingLicense usage and plans.

Check the keyframe first. A rejected still costs nothing. A rejected 5-second clip has already been paid for.

How verdicts work: measured checks run automatically, and your assistant reviews the returned frames for hands, faces and identity before a render can PASS, so nothing broken slips through to the next paid step.

Plans

PlanMonthlyYearlyChecks per month
StarterUS$9US$99300
ProUS$29US$2903,000

Checks reset on the 1st of each month (UTC). One license per person; teams buy one per member. Checkout, tax and invoices are handled by Polar, the merchant of record. The license key in your Polar receipt is your API key. Cancel or change plans in the Polar customer portal. Run stg_pricing for the checkout links.

Install (MCP)

Requires uv.

Claude Desktop / Cursor: add to claude_desktop_config.json or ~/.cursor/mcp.json:

config.json
{
  "mcpServers": {
    "smart-token-guard": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/nwjnjjj/smart-token-guard", "smart-token-guard"],
      "env": { "STG_LICENSE_KEY": "your-license-key" }
    }
  }
}

Claude Code

Terminal
claude mcp add smart-token-guard -e STG_LICENSE_KEY=your-license-key -- uvx --from git+https://github.com/nwjnjjj/smart-token-guard smart-token-guard

VS Code: .vscode/mcp.json → {"servers": {"smart-token-guard": {"type": "stdio", "command": "uvx", "args": [...same...], "env": {...}}}}

Then ask: "Inspect renders/sh010_keyframe.png against refs/kai.png. If it passes, I'll render the clip on Kling (0.7 USD, fallback Runway)."

Python SDK

Terminal
pip install git+https://github.com/nwjnjjj/smart-token-guard
server.ts
from smart_token_guard import Client

stg = Client()  # reads STG_LICENSE_KEY
report = stg.inspect("renders/sh010.mp4", reference_image="refs/kai.png")
print(report["report"]["issues"], report["license"]["checks_remaining"])

decision = stg.qa_gate(model="Kling", render_cost_usd=0.7, technical_issues=report["report"]["issues"],
                       semantic_defects=["deformed_hands"], fallback_model="Runway")
print(decision["decision"], decision["actions"])

HTTP API: POST /v1/inspect (multipart file, optional reference, options JSON), POST /v1/qa-gate, GET /v1/account with Authorization: Bearer <license key>. See GET /v1/capabilities.

For AI agents (remote MCP and A2A)

No install needed. Media is passed as a public https URL; the server downloads it, analyses it and deletes it.

  • Remote MCP (Streamable HTTP): https://stg-agent-560636228350.asia-east1.run.app/mcp with header Authorization: Bearer <license key>. Tools: stg_inspect_media_url, stg_qa_gate, stg_account, stg_pricing.
  • A2A: Agent Card at https://stg-agent-560636228350.asia-east1.run.app/.well-known/agent-card.json, JSON-RPC message/send at /a2a. Send a data part {"media_url": "https://..."} (or text containing a link) to inspect, or {"skill": "qa-gate", ...} for a decision.
  • Same plans and monthly checks as above. URLs must be public https hosts; private and internal addresses are refused.

Limits and privacy

  • Up to 32 MB, 60 seconds and 1080p per file (JPEG, PNG, WebP, MP4, MOV, WebM, MKV). 30 requests per minute.
  • Files are uploaded to the SmartTokenGuard API (Google Cloud), analysed in a temporary file, and deleted before the response is sent. Nothing is stored and nothing is used for training.
  • The API receives your license key and the file. Project ledgers stay on your computer (~/.smart-token-guard/).
  • Measured checks catch technical render failures. They do not certify anatomy, identity, copyright or story quality.

Support

Refunds, invoices and cancellation: Polar customer portal (link in your receipt). The client code in this repository is MIT licensed; the hosted API requires a paid license.

Read the full README →View source on GitHub →

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Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about SmartTokenGuard

We don't have a confirmed install command for SmartTokenGuard yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/nwjnjjj/smart-token-guard) for the current steps.

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Technical Specs & Signals

Category💰Finance & Fintech
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Last updatedSep 28, 2026
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28Quality signal: Emerging · 28/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools12/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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