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# gelbooru-mcp

[![Python](https://img.shields.io/badge/python-3.10+-blue)](https://www.python.org/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![MCP](https://img.shields.io/badge/MCP-compatible-green)](https://modelcontextprotocol.io/)

<a href="https://glama.ai/mcp/servers/citronlegacy/gelbooru-mcp">
  <img width="380" height="200" src="https://glama.ai/mcp/servers/citronlegacy/gelbooru-mcp/badge" alt="Gelbooru MCP server rating" />
</a>


A Python [MCP](https://modelcontextprotocol.io/) server that wraps the [Gelbooru API](https://gelbooru.com/index.php?page=wiki&s=view&id=18780). 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.

---

## ✨ 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

---

## 📦 Installation

### Prerequisites
- Python 3.10+
- `git`

### Quick Start

1. **Clone the repository:**
```bash
git clone https://github.com/citronlegacy/gelbooru-mcp.git
cd gelbooru-mcp
```

2. **Run the installer:**
```bash
chmod +x install.sh && ./install.sh
# or without chmod:
bash install.sh
```

3. **Or install manually:**
```bash
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](https://gelbooru.com/index.php?page=account&s=options)
2. Log in to your Gelbooru account
3. Copy your **API Key** and **User ID**
4. Set them as environment variables (see below)

---

## 🔑 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.

```bash
export GELBOORU_API_KEY="your_api_key"
export GELBOORU_USER_ID="your_user_id"
```

Both values are on your [Gelbooru account options page](https://gelbooru.com/index.php?page=account&s=options). Without them the server still works but requests may be throttled. Patreon supporters of Gelbooru are not rate-limited.

---

## ▶️ Running the Server

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

---

## ⚙️ Configuration

### Claude Desktop

Add the following to your `claude_desktop_config.json`:

```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

---

## 💡 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, ...
```

---

**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"`.

---

**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.

---

## 🛠️ 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` |

---

## 📖 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**
```json
{
  "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.

---

### `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**
```json
{
  "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 |

---

### `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](#️-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) |

---

### `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`) |

---

### `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`.

---

### `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 |

---

### `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 |

---

## 🏷️ 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 |

---

## 🤖 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.

---

## ⚠️ 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.

---

## 🐛 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

---

## 🤝 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

---

## 📄 License

MIT License — see [LICENSE](LICENSE) for details.

---

## 🔗 Links

- 📚 [Gelbooru API docs](https://gelbooru.com/index.php?page=wiki&s=view&id=18780)
- 🏷️ [Gelbooru tag search cheatsheet](https://gelbooru.com/index.php?page=wiki&s=view&id=26263)
- 🔧 [MCP documentation](https://modelcontextprotocol.io/)
- 🐦 [Gelbooru on X/Twitter](https://x.com/gelbooru)
- 🐛 [Bug Reports](https://github.com/citronlegacy/gelbooru-mcp/issues)
- 💡 [Feature Requests & Discussions](https://github.com/citronlegacy/gelbooru-mcp/discussions)

TDQS

A3.7/5.0

Scored across 7 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: build_prompt generates prompts, get_character_tags fetches character metadata, get_comments retrieves comments, get_deleted_posts accesses deleted content, search_posts searches posts, search_tags searches tags, and search_users searches users. There is no overlap in functionality, making tool selection unambiguous.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using snake_case: build_prompt, get_character_tags, get_comments, get_deleted_posts, search_posts, search_tags, and search_users. The naming is predictable and readable throughout the set.

Tool Count5/5

With 7 tools, the count is well-scoped for a Gelbooru-focused server, covering key operations like searching posts/tags/users, retrieving comments/deleted posts, and building prompts from character data. Each tool earns its place without being excessive or insufficient.

Completeness4/5

The tool set provides comprehensive coverage for interacting with Gelbooru's content and metadata, including search, retrieval, and prompt generation. Minor gaps exist, such as no tools for uploading posts or managing user accounts, but these are not critical for typical agent workflows and the core operations are well-covered.

Maintenance

ActivityInactive
ResponsivenessNo issues