A
licenseA
qualityC
maintenanceMCP server for AI-powered media generation: images, videos, audio, and upscaling using 99 AI models.
6
MIT
Theta EdgeCloud On-Demand API MCP Server
Officialby thetatoken
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TDQS
A4/5.0
Scored across 4 tools
Disambiguation5/5
Each tool has a clearly distinct role: listing services, running inference, checking request status, and obtaining upload URLs. There is no meaningful overlap or ambiguity between them.
Naming Consistency4/5
Most tools follow a verb_noun pattern (list_services, get_request_status, get_upload_url), but infer is a single verb without an object. This is a minor deviation and the overall naming is still clear and predictable.
Tool Count5/5
Four tools is well-scoped for this server's purpose: service discovery, inference execution, asynchronous status checking, and upload support. Each tool earns its place without unnecessary bloat.
Completeness5/5
The tool surface covers the full lifecycle of an on-demand inference request: discover services, upload inputs when needed, trigger inference, and poll for results. No obvious gaps exist for the stated domain.
Maintenance
ActivityInactive
ResponsivenessNo issues