A
licenseNot graded
qualityD
maintenanceAn MCP server that provides comprehensive localization data for 174 locales, enabling AI agents to generate culturally-adapted multilingual content.
MIT
konid-ai
by robertnowell
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TDQS
A4.3/5.0
Scored across 3 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: coach generates language options, speak produces audio from text, and replay repeats the last audio. There is no overlap in functionality, so an agent can select the correct tool without confusion.
Naming Consistency5/5
All tool names are single lowercase verbs (coach, speak, replay) that directly describe their action. The naming convention is perfectly uniform and instantly understandable.
Tool Count5/5
With only 3 tools, the server is tightly scoped to a simple workflow: generate a phrase, hear it, and repeat it. Each tool is necessary and the count is ideal for the intended purpose.
Completeness5/5
The tool surface covers the full language pronunciation loop: creating natural expressions, listening to them via TTS, and replaying on demand. There are no obvious gaps or dead ends for the intended use case.
Maintenance
ActivityInactive
ResponsivenessNo issues