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Audio Description MCP
x402
Audio Description MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-13).
Generates or processes audio descriptions for media content, making visual content accessible to visually impaired users
Price / call$0.1
Success—
StatusUnknown
How this service works
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Output
Returns a processed audio description output — typically descriptive text or audio narration content — suitable for use as an accessibility track or spoken description for the provided media or scene data.
Example use cases
Accessible video narration for filmmakers
“I'm producing a short film and need audio descriptions for the key visual scenes — can you generate descriptive narrations I can add as an accessibility track? Here's the scene data: 'A man in a red coat crosses a busy intersection at night, glancing over his shoulder.'”
Automated accessibility compliance for web video
“My website has embedded videos that need to meet WCAG accessibility standards — can you process this visual scene description and generate an audio description track for it? The scene is: 'A presenter points to a bar chart showing sales growth over three quarters.'”
Museum exhibit audio guide generation
“I'm creating an audio guide for a museum exhibit and need descriptive narrations for each artwork — can you generate an audio description for this piece: 'A large oil painting depicting a stormy sea with a single sailboat struggling against crashing waves, painted in dark blues and grays'?”
Technical details
Endpoint
POSThttps://api.m2mcent.com/audio-description-mcp/api/process?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to generate accessibility-focused audio descriptions for visual media content, especially for WCAG compliance, film accessibility tracks, or assistive technology applications. Prefer this over generic text generation endpoints when the specific output format and framing of accessibility narration is needed.
Side effects
- Empty or missing 'data' field returns a validation error
- Malformed input string may produce irrelevant or low-quality descriptions
- Overly long input data may be truncated or rejected
- Ambiguous scene descriptions may result in generic narrations
- Service may time out on very large or complex inputs
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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