Tavus MCP Server
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Alternatives to Tavus MCP Server
No user-submitted related servers found.
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- AlicenseAqualityCmaintenanceEnables AI assistants to generate AI avatar videos, manage templates, and work with assets through natural language commands via the HeyGen API.7MIT

Hooked MCP Serverofficial
AlicenseNot gradedqualityDmaintenanceEnables AI agents to create videos programmatically using the Hooked Video API, with tools for avatar selection, voice, music, and various video creation styles.3 npmMIT
Heygen MCP Serverofficial
AlicenseNot gradedqualityNot gradedmaintenanceEnables Claude Desktop and Agents to generate AI avatars and videos through the HeyGen API, providing tools to create and manage avatar videos with specified text and voice options.125 PyPI44MIT- AlicenseNot gradedqualityDmaintenanceProvides LLMs with full access to the Ken Video API for professional video processing, including adding audio, captions, and job management.3MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to interact with Mux video infrastructure, providing tools for fetching video assets, clipping videos into shorts, monitoring live streams, pulling viewer analytics, and generating auto-captions.MIT
- AlicenseBqualityBmaintenanceEnables AI agents to create lipsync videos, manage assets, and check generation status via the Sync API.2913 npm1MIT
TDQS
Scored across 29 tools
Every tool has a clearly distinct purpose with no ambiguity. Tools are organized by resource type (conversation, lipsync, persona, replica, speech, video) and action (create, delete, get, list, etc.), making it easy for an agent to select the correct one. For example, 'create_conversation' and 'end_conversation' serve different lifecycle stages without overlap.
Tool names follow a consistent verb_noun pattern throughout, with verbs like create, delete, get, list, patch, and rename paired with specific nouns. All names use snake_case uniformly, and the pattern is predictable across all 29 tools, enhancing readability and agent usability.
With 29 tools, the count is borderline high for the domain of AI video and conversational interfaces, which might feel heavy but is still manageable. The tools cover multiple resource types comprehensively, but the number could be optimized by grouping similar operations, making it slightly over the ideal 3-15 range for well-scoped servers.
The tool surface provides complete CRUD/lifecycle coverage for all key resources (conversation, lipsync, persona, replica, speech, video), including create, get, list, delete, and update operations (via patch or rename). There are no obvious gaps; agents can perform full workflows from creation to deletion without dead ends.