Gelbooru

Python License: MIT MCP

A Python MCP server that wraps the Gelbooru API. Connect it to any MCP-compatible client (Claude Desktop, Cursor, etc.) to search posts, look up tags, and generate Stable Diffusion prompts from real character appearance data — all directly from your AI assistant.

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✨ Features

🎨 Stable Diffusion Prompt Generation

• Character Prompts: Auto-generate accurate SD prompts from real Gelbooru tag frequency data
• Appearance Breakdown: Separate eye, hair, and clothing/accessory tag categories
• Smart Caching: Results cached for 24 hours — no repeated API hits

🔍 Post & Tag Search

• Advanced Filtering: Search by tags, score, resolution, rating, uploader, pool, and more
• Full Tag Syntax: AND, OR, wildcard, exclusion, meta-tags, sorting, and pagination
• Tag Lookup: Check tag existence, post counts, and discover related tags

👥 Community Tools

• User Search: Find Gelbooru user accounts by name or wildcard pattern
• Comments: Retrieve post comments for any post ID
• Deleted Posts: Track removed content above a given post ID

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📦 Installation

Prerequisites

• Python 3.10+
• git

Quick Start

1. Clone the repository:

git clone https://github.com/citronlegacy/gelbooru-mcp.git
cd gelbooru-mcp

2. Run the installer:

chmod +x install.sh && ./install.sh
# or without chmod:
bash install.sh

3. Or install manually:

pip install mcp

Note: Add .gelbooru_cache/ and .venv/ to your .gitignore to avoid committing cached data or your virtual environment.

Getting a Gelbooru API Key

1. Visit your Gelbooru account options page
2. Log in to your Gelbooru account
3. Copy your API Key and User ID
4. Set them as environment variables (see below)

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🔑 Authentication

API credentials are optional but strongly recommended — unauthenticated requests are throttled and limited to 2 tags per query. Gelbooru Patreon supporters receive unlimited requests.

export GELBOORU_API_KEY="your_api_key"
export GELBOORU_USER_ID="your_user_id"

Both values are on your Gelbooru account options page. Without them the server still works but requests may be throttled. Patreon supporters of Gelbooru are not rate-limited.

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▶️ Running the Server

python gelbooru_mcp.py
# or via the venv created by install.sh:
.venv/bin/python gelbooru_mcp.py

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⚙️ Configuration

Claude Desktop

Add the following to your claude_desktop_config.json:

{
  "mcpServers": {
    "gelbooru-mcp": {
      "command": "/absolute/path/to/.venv/bin/python",
      "args": ["/absolute/path/to/gelbooru_mcp.py"],
      "env": {
        "GELBOORU_API_KEY": "your_api_key",
        "GELBOORU_USER_ID": "your_user_id"
      }
    }
  }
}

Other MCP Clients

Configure according to your client's documentation:

• Command: /absolute/path/to/.venv/bin/python
• Args: /absolute/path/to/gelbooru_mcp.py
• Transport: stdio

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💡 Usage Examples

Generate a Stable Diffusion prompt for a character

"Build me a Stable Diffusion prompt for Rem from Re:Zero."

The LLM calls build_prompt with character_name: "rem_(re:zero)" and gets back:

rem (re:zero), blue eyes, blue hair, short hair, maid, maid headdress, maid apron, ...

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Find high-quality wallpaper images

"Show me the top-rated scenery images that are at least 1920px wide."

The LLM calls search_posts with tags: "scenery width:>=1920 sort:score:desc".

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Look up how popular a tag is

"How many posts does the tag 'misty_(pokemon)' have on Gelbooru?"

The LLM calls search_tags with name: "misty_(pokemon)" and reads the count field.

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🛠️ Available Tools

Tool	Description	Key Parameters
build_prompt	Generate a Stable Diffusion prompt string for a character	character_name, max_images, include_other
get_character_tags	Get structured tag breakdown with frequency counts	character_name, max_images
search_posts	Search posts with full tag syntax support	tags, limit, pid, id
search_tags	Look up tags by name, pattern, or ID	name, name_pattern, orderby, limit
search_users	Find Gelbooru user accounts	name, name_pattern, limit
get_comments	Retrieve comments for a post	post_id
get_deleted_posts	List recently deleted posts	last_id, limit

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📖 Tools Reference

build_prompt

Fetches the most-tagged rating:general solo posts for a character and assembles a ready-to-paste Stable Diffusion prompt string. Internally calls get_character_tags so results are cached after the first fetch.

Parameters

Parameter	Type	Required	Default	Description
character_name	string	✅	—	Gelbooru character tag, e.g. misty_(pokemon)
max_images	integer	❌	300	Posts to analyse. More = slower first fetch, more reliable tags. Cached afterward.
include_other	boolean	❌	true	Include non-eye/hair tags (clothing, accessories, etc.). Set to false for appearance-only prompts.

Example response

{
  "prompt": {
    "character": "misty (pokemon)",
    "posts_analysed": 284,
    "cache_hit": false,
    "prompt_string": "misty (pokemon), green eyes, orange hair, side ponytail, gym leader, shorts, suspenders",
    "tags": {
      "eye":   ["green eyes"],
      "hair":  ["orange hair", "side ponytail"],
      "other": ["gym leader", "shorts", "suspenders"]
    }
  }
}

LLM Tip: Always use Gelbooru's underscore format (misty_(pokemon) not Misty (Pokemon)). If unsure of the exact tag, call search_tags with name_pattern first.

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get_character_tags

Same data source as build_prompt but returns the full structured tag breakdown with frequency counts. Use this when you want to inspect, filter, or reformat tags yourself.

Parameters

Parameter	Type	Required	Default	Description
character_name	string	✅	—	Gelbooru character tag, e.g. rem_(re:zero)
max_images	integer	❌	300	Number of top-scored posts to analyse.

Example response

{
  "character_tags": {
    "name": "rem_(re:zero)",
    "posts_analysed": 300,
    "cache_hit": true,
    "eye": [
      { "tag": "blue eyes", "count": 261, "frequency": 0.87 }
    ],
    "hair": [
      { "tag": "blue hair",  "count": 274, "frequency": 0.913 },
      { "tag": "short hair", "count": 198, "frequency": 0.66  }
    ],
    "other": [
      { "tag": "maid", "count": 231, "frequency": 0.77 }
    ]
  }
}

frequency is the fraction of analysed posts that had that tag (0.0–1.0). Tags near 1.0 are near-universal; tags below 0.3 are situational.

Cache environment variables:

Env var	Default	Description
GELBOORU_CACHE_DIR	.gelbooru_cache/ next to script	Custom cache folder path
GELBOORU_CACHE_TTL	86400 (24 hours)	Cache lifetime in seconds

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search_posts

Search Gelbooru posts using any tag combination. Supports the full Gelbooru tag syntax including meta-tags, sorting, and filtering.

Parameters

Parameter	Type	Required	Default	Description
tags	string	❌	—	Tag query string (see Tag Syntax Reference below)
limit	integer	❌	20	Posts to return (max 100)
pid	integer	❌	0	Page number (0-indexed) for pagination
id	integer	❌	—	Fetch a single post by its Gelbooru post ID
cid	integer	❌	—	Fetch posts by change ID (Unix timestamp)

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get_deleted_posts

Retrieve posts that have been deleted from Gelbooru, optionally filtered to those above a given post ID.

Parameters

Parameter	Type	Required	Default	Description
last_id	integer	❌	—	Only return deleted posts whose ID is above this value. Useful for syncing a local mirror.
limit	integer	❌	20	Posts to return (max 100)

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search_tags

Look up Gelbooru tags by name, wildcard pattern, or ID. Useful for checking tag existence, finding post counts, discovering related tags, or autocomplete.

Parameters

Parameter	Type	Required	Default	Description
name	string	❌	—	Exact tag name, e.g. blue_hair
names	string	❌	—	Space-separated list of exact tag names, e.g. cat_ears dog_ears fox_ears
name_pattern	string	❌	—	SQL LIKE wildcard: % = any chars, _ = one char. E.g. %schoolgirl%
id	integer	❌	—	Look up a tag by its database ID
after_id	integer	❌	—	Return tags with ID greater than this value
limit	integer	❌	20	Tags to return (max 100)
order	string	❌	—	ASC or DESC
orderby	string	❌	—	Sort field: date, count, or name

LLM Tip: If the user gives a character name in natural language (e.g. "Misty from Pokemon"), use name_pattern with %misty%_(pokemon)% to find the correct Gelbooru tag before calling get_character_tags or build_prompt.

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search_users

Search for Gelbooru user accounts by name.

Parameters

Parameter	Type	Required	Default	Description
name	string	❌	—	Exact username
name_pattern	string	❌	—	SQL LIKE wildcard username search
limit	integer	❌	20	Results to return (max 100)
pid	integer	❌	0	Page number for pagination

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get_comments

Retrieve comments on a specific post.

Parameters

Parameter	Type	Required	Default	Description
post_id	integer	✅	—	The Gelbooru post ID to fetch comments for

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🏷️ Tag Syntax Reference

Syntax	Meaning
tag1 tag2	Posts with both tag1 AND tag2
{tag1 ~ tag2 ~ tag3}	Posts with tag1 OR tag2 OR tag3
-tag1	Exclude posts with tag1
*tag1	Wildcard prefix (tags ending with tag1)
tag1*	Wildcard suffix (tags starting with tag1)
rating:general	Filter by rating: general, questionable, or explicit
-rating:explicit	Exclude a rating
score:>=50	Score at least 50
width:>=1920	Image width ≥ 1920px
height:>1080	Image height > 1080px
user:bob	Uploaded by user "bob"
fav:1	Posts favourited by user with ID 1
pool:2	Posts in pool ID 2
sort:score:desc	Sort by score (desc or asc)
sort:random	Random order on every request
sort:random:1234	Random order with a fixed seed (0–10000)
sort:updated:desc	Sort by most recently updated

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🤖 Notes for LLMs

• Character tag format: Gelbooru uses character_(series) format with underscores. Always convert natural language names before passing to tools — "Rem from Re:Zero" → rem_(re:zero), "Saber from Fate" → saber_(fate).
• Workflow for character prompts: If the exact tag is unknown, call search_tags with name_pattern first → confirm the tag exists and has posts → then call build_prompt.
• Pagination: search_posts returns max 100 results per call. Use pid to walk through pages. get_character_tags and build_prompt handle their own pagination internally.
• Cache: get_character_tags and build_prompt cache results for 24 hours. The cache_hit field in the response indicates whether live or cached data was used.
• Ratings: Gelbooru uses general, questionable, and explicit. get_character_tags and build_prompt always filter to rating:general for cleaner, more representative character data.

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⚠️ Known Limitations

• Tag search limit: Gelbooru enforces a maximum of 2 tags per unauthenticated search query. For complex multi-tag queries, set GELBOORU_API_KEY and GELBOORU_USER_ID.
• get_character_tags accuracy: Results depend on how consistently a character is tagged on Gelbooru. Niche or recently added characters may have fewer posts and less reliable frequency data.
• rating:general only for character tools: build_prompt and get_character_tags intentionally restrict to rating:general for clean, representative appearance data. Explicit posts are excluded by design.
• Cache is per (character_name, max_images) pair: Changing max_images busts the cache for that character.

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🐛 Troubleshooting

Server won't start:

• Ensure Python 3.10+ is installed: python --version
• Verify the virtual environment was created: ls .venv/
• Re-run the installer: bash install.sh

API rate limiting / throttled requests:

• Set GELBOORU_API_KEY and GELBOORU_USER_ID environment variables
• Gelbooru Patreon supporters receive unlimited requests

Character not found / empty results:

• Confirm the tag exists with search_tags using name_pattern
• Check spelling — Gelbooru uses character_(series) underscore format
• Some characters may have very few consistently tagged posts

Tag syntax errors / too many tags:

• Unauthenticated users are limited to 2 tags per query
• Authenticate with API credentials for complex multi-tag searches

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🤝 Contributing

Pull requests are welcome! If you find a character tag being miscategorised (e.g. a hair style tag missing from the hair bucket, or a noise tag slipping through the purge filter), please open an issue or PR with the tag and which list it belongs in.

Development Setup

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request

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📄 License

MIT License — see LICENSE for details.

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🔗 Links

• 📚 Gelbooru API docs
• 🏷️ Gelbooru tag search cheatsheet
• 🔧 MCP documentation
• 🐦 Gelbooru on X/Twitter
• 🐛 Bug Reports
• 💡 Feature Requests & Discussions