anime-video-mcp
Related Servers
Alternatives to anime-video-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceEnables AI-driven long-form novel creation and management, including chapter generation, character and timeline tracking, semantic memory retrieval, version savepoints, and deep consistency checking across multiple projects through MCP tools, with support for local LM Studio or any OpenAI-compatible API.14MIT
- AlicenseNot gradedqualityBmaintenanceEnables long-form web novel writing workflows by ingesting chapters into a state database, running deterministic consistency checks, querying entity histories, replaying extraction results, and retrieving conflict reports via MCP tools.MIT
- AlicenseNot gradedqualityAmaintenanceEnables coding agents to maintain a private, process-bound recall trail and retrieve human-reviewed, immutable knowledge editions over stdio MCP, while supporting capture, recall, feedback, and proposal creation.Apache 2.0
- AlicenseNot gradedqualityDmaintenanceAutomated short-form video creation from text prompts, combining text-to-speech, captions, background videos, and music, exposed as an MCP server for AI agents.83 npmMIT

openrhyme-mcpofficial
AlicenseAqualityBmaintenanceEnables any MCP-compatible agent to query a local OpenRhyme activity timeline, search history, and issue control commands over stdio while keeping all data on-machine.5MIT- AlicenseBqualityBmaintenanceEnables AI agents to take a raw script all the way to a finished, downloadable short-drama .mp4, covering AI rewrite, character consistency, storyboards, frames, video shots, TTS voiceover, and final cut with quote-before-spend billing from any MCP client.1324,392 npmMIT
TDQS
Scored across 12 tools
Most tools have clearly distinct names and purposes, but five tools (generate_assets, generate_voice, generate_music, render_episode, qa_episode) share identical descriptions ('Report pending media provider or QA gate'), which could cause misselection if an agent relies solely on descriptions. The distinct names mitigate this, but the overlap in descriptions introduces some ambiguity.
All tool names consistently follow a verb_noun pattern (e.g., create_episode, build_storyboard, generate_voice, qa_episode), with no mixed conventions or style deviations. This makes the naming predictable and easy to navigate.
With 12 tools, the count falls comfortably within the ideal 3-15 range. Each tool represents a distinct step in the anime production pipeline (research, script, storyboard, asset/voice/music generation, render, QA, and batch/series creation), so no tool feels redundant or missing.
The pipeline covers the full lifecycle from research to QA, including script, storyboard, and media generation. Minor gaps exist, such as the absence of explicit update/delete operations or a tool to list existing episodes, but these are not critical for the domain and agents can likely work around them.