ElevenLabs MCP Server
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Scored across 24 tools
Most tools have distinct purposes, but there is some overlap between search_voice_library and search_voices, which could cause confusion as both search for voices but target different scopes (entire library vs. user's library). Other tools like text_to_speech and text_to_voice are clearly differentiated by their outputs (speech vs. voice previews).
Tool names follow a consistent snake_case pattern with clear verb_noun structures, such as create_agent, list_agents, get_agent, and compose_music. There are no deviations in naming conventions, making the set predictable and easy to understand.
With 24 tools, the count is on the higher side for a single server, potentially overwhelming for agents. While it covers a broad range of ElevenLabs functionalities, it might benefit from better scoping or categorization to reduce cognitive load.
The tool set provides comprehensive coverage for audio generation, voice management, agent handling, and conversation tracking. Minor gaps include lack of update/delete operations for agents or voices, but core workflows are well-supported with create, get, list, and search tools.