A
licenseA
qualityF
maintenanceEnables text-to-speech conversion using ElevenLabs API with voice management, streaming support, and multiple models.
5
1
MIT
ElevenLabs MCP Server
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TDQS
A3.6/5.0
Scored across 6 tools
Disambiguation5/5
Each tool has a clearly distinct purpose with no ambiguity. delete_job removes jobs, generate_audio_script creates multi-voice audio from structured input, generate_audio_simple creates basic audio, get_audio_file retrieves audio content, get_voiceover_history accesses job history, and list_voices lists available voices. The two generation tools are clearly differentiated by complexity level.
Naming Consistency5/5
All tools follow a consistent verb_noun pattern throughout: delete_job, generate_audio_script, generate_audio_simple, get_audio_file, get_voiceover_history, list_voices. The naming convention is perfectly uniform with clear action-object relationships and no mixing of styles.
Tool Count5/5
Six tools is an ideal number for this audio generation domain. It provides complete coverage of core workflows (generation, retrieval, management, discovery) without being overwhelming. Each tool earns its place with clear utility in the voiceover job lifecycle.
Completeness5/5
The toolset provides complete CRUD/lifecycle coverage for ElevenLabs voiceover operations: create (two generation tools), read (get_audio_file, get_voiceover_history, list_voices), delete (delete_job). There are no obvious gaps - agents can create audio, retrieve results, manage jobs, and discover available voices.
Maintenance
ActivityInactive
ResponsivenessUnresponsive