IRCAM Amplify MCP Server
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Scored across 5 tools
Each tool has a clearly distinct purpose with no overlap: analyze_loudness focuses on loudness metrics, analyze_music on musical features, detect_ai_music on AI detection, separate_stems on audio separation, and check_job_status on job monitoring. The descriptions clearly differentiate their functions, eliminating any ambiguity.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., analyze_loudness, check_job_status). This uniformity makes the tool set predictable and easy to understand, with no deviations in naming conventions.
With 5 tools, the server is well-scoped for audio analysis and processing. Each tool serves a specific, non-redundant function, and the count is appropriate for covering core operations without being overwhelming or insufficient.
The tool set covers key audio analysis tasks (loudness, music features, AI detection, stem separation) and includes job status checking for async operations. A minor gap is the lack of tools for audio editing or synthesis, but the provided tools support a complete workflow for analysis and processing within the stated domain.