A
licenseA
qualityC
maintenanceRead-only MCP server exposing Deep Anime AI's image generation knowledge, including styles, pricing, and official links, to MCP-compatible AI clients.
3
MIT
Deepghs MCP
by citronlegacy
Related Servers
Alternatives to Deepghs MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceMCP server for generating AI images with local ComfyUI, featuring a reference-image-to-replication toolchain including Danbooru tag lookup, local Ollama vision, deobfuscation, and Civitai LoRA search/download.3MIT
- AlicenseNot gradedqualityAmaintenanceAn MCP server for anime and manga discovery, enabling search, detail retrieval, franchise watch order, seasonal schedule, character lookups, rankings, and studio filmography via natural language.431 npm2Apache 2.0
- AlicenseBqualityDmaintenanceMCP Server for interacting with the MyAnimeList API, allowing LLM clients to access and interact with anime, manga and more.154MIT
- FlicenseNot gradedqualityCmaintenanceMCP server for generating high-quality anime/CG images via ARK and Agnes engines, supporting text-to-image, image-to-image, multi-image, and sequence generation with 16 style presets.-
- AlicenseNot gradedqualityDmaintenanceMCP server integrating Higgsfield AI API for image generation, video animation, and speech-to-video synthesis with character management and job tracking.4MIT
TDQS
A4.5/5.0
Scored across 8 tools
Disambiguation5/5
Each tool has a distinct, non-overlapping purpose within the DeepGHS ecosystem: dataset discovery (find_character_dataset, list_datasets), script generation for data processing (generate_waifuc_script, generate_cheesechaser_script), metadata retrieval (get_repo_info, list_models, list_spaces), and tag searching (search_tags). The descriptions clearly differentiate their functions, eliminating ambiguity.
Naming Consistency5/5
All tools follow a consistent 'deepghs_verb_noun' pattern (e.g., deepghs_find_character_dataset, deepghs_generate_waifuc_script). The verb-noun structure is uniform across all eight tools, with no deviations in style or convention, making the set highly predictable and readable.
Tool Count5/5
With 8 tools, the count is well-scoped for the server's purpose of managing anime image datasets and models. Each tool serves a specific role in the workflow—from discovery and metadata to script generation and tag searching—without redundancy or excessive fragmentation, fitting the typical 3-15 tool range for a focused domain.
Completeness4/5
The toolset covers core workflows comprehensively: dataset/model/space listing, detailed metadata retrieval, script generation for data crawling and downloading, and tag searching. A minor gap exists in direct dataset manipulation (e.g., upload or delete operations), but agents can work around this using generated scripts or external tools, and the surface supports the main use cases effectively.
Maintenance
ActivityInactive
ResponsivenessNo issues