A
licenseNot graded
qualityC
maintenanceMCP server for interacting with the fal.ai API — run AI models, submit jobs, and manage media generation workflows from Claude or any MCP-compatible client.
MIT
mcp-fal
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TDQS
A4.2/5.0
Scored across 3 tools
Disambiguation5/5
Each tool targets a clearly distinct domain: image generation, video generation, and a catch-all for any other model. There is no ambiguity or overlap between them.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern in snake_case (generate_image, generate_video, run_model), making them predictable and easy to understand.
Tool Count5/5
Three tools is an ideal number for this server: two specialized tools for the most common tasks and one flexible tool that covers the remaining 1000+ models. The scope is well-scoped without being overwhelming.
Completeness4/5
The specialized tools handle the primary use cases (image and video generation), and run_model fills any gaps. However, dedicated tools for other popular model categories (e.g., audio) could improve discoverability, though run_model covers them.
Maintenance
ActivityInactive
ResponsivenessNo issues