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ModelsLab v8 generation APIs: discover models, providers and endpoints, then run them.

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Status
Unhealthy
Uptime
0.0% over the last 24 hours
OAuth
Not checked
Last Tested
Transport
Streamable HTTP
URL
Repository
ModelsLab/modelslab-mcp
GitHub Stars
0
Server Listing
ModelsLab MCP Server
ChatGPT
–
Claude
–

TDQS

A4.1/5.0

Scored across 8 tools

Disambiguation4/5

Each generation tool cleanly targets a distinct modality (image, video, audio, 3D), and endpoint-details/fetch-generation/list-models/list-providers have clearly separate roles. The four generation tools share nearly identical boilerplate descriptions ('pass endpoint slug, return request ID, use list-models'), which could momentarily blur them, but the modality in each name disambiguates reliably. list-models and endpoint-details both surface model IDs, a minor overlap.

Naming Consistency5/5

All names use consistent kebab-case. Generation tools follow a uniform noun-generation pattern (image-generation, video-generation, audio-generation, 3d-generation), and the utility tools follow a clean verb_noun pattern (fetch-generation, list-models, list-providers) or noun role (endpoint-details). No mixing of conventions.

Tool Count5/5

Eight tools is well-scoped for a multimodal generation platform. Each tool earns its place: four generation modalities plus discovery (list-models, list-providers, endpoint-details) and result retrieval (fetch-generation). No redundancy or padding.

Completeness4/5

The async generation lifecycle is well covered: discover endpoints/models -> generate -> fetch results. Minor gaps exist such as no cancel/delete for queued requests and no account/credit or batch operations, but core workflows are fully supported. The explicit workflow guidance compensates for these omissions.

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