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Stop burning credits on broken AI video: check every render before you pay for the next one.

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Status
Unhealthy
Uptime
34.2% over 22 days
Last Tested
Transport
Streamable HTTP
URL
Repository
nwjnjjj/smart-token-guard
GitHub Stars
0
Server Listing
smart-token-guard

TDQS

B3.1/5.0

Scored across 4 tools

Disambiguation4/5

The core pair (stg_inspect_media_url measures media, stg_qa_gate renders a PASS/RETRY/HALT decision from history) is clearly distinct, and pricing vs. account separate checkout from quota usage. Only mild overlap remains between stg_account and stg_pricing, since both surface plan information.

Naming Consistency4/5

All names share a consistent 'stg_' prefix and snake_case, which makes the set predictable. The suffix style is mixed (verb_noun for stg_inspect_media_url vs. bare nouns for stg_account/stg_pricing/stg_qa_gate), but still readable and coherent.

Tool Count4/5

Four tools is a tight, well-scoped surface for a media QA-gate service: inspect, gate, account and pricing each earn a place. It is on the lean side but not thin enough to feel incomplete.

Completeness4/5

The workflow is closed: inspect media (returns frames), feed attempts into the free stateless gate, and manage quota/purchase via account and pricing. Minor gaps exist (no batch inspection or reference-image management), but agents can work around them.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 4 tool updates
    • First observedstg_account
    • First observedstg_inspect_media_url
    • First observedstg_pricing
    • First observedstg_qa_gate

Related MCP Connectors

Related MCP Servers

  • A
    license
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    quality
    A
    maintenance
    Turns silent defects in AI-generated video and audio — wrong speaking pace, mismatched loudness, truncation, dead air, late captions, broken layout — into hard assertion failures inside tests and CI. Enables agents to check individual files or whole output directories against platform presets, returning pass/fail exit codes and human-readable bug reports instead of raw measurements.
    MIT
  • A
    license
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    quality
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    Generate video from a prompt, from an image, or from up to thirty reference images, routed across the field of AI video models (Sora, Veo, Kling, Seedance, Hailuo, Wan and more). Quotes the credit cost before spending it and refunds a technical failure automatically.
    5
    MIT
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