# tavern-tanuki

> tavern-tanuki — fannnnnnn5822-tavern-tanuki. Use this tool when you need to integrate AI coding assistants with a SillyTavern instance, enabling them to manage and interact with character cards, worldbooks, and chats. It solves problems of automated content generation and AI-driven gameplay by providing a full generation pipeline for AI agents to read and write game data. The tavern-tanuki server accepts inputs from AI agents and outputs generated game content, making it ideal for use cases that require dynamic, AI-driven storytelling and gameplay.

Canonical page: https://skillsregistry.net/skills/fannnnnnn5822-tavern-tanuki  
JSON: https://api.skillsregistry.net/v1/skills/fannnnnnn5822-tavern-tanuki

## Description

MCP server for managing and playing a running SillyTavern instance, enabling AI coding assistants to read/write character cards, worldbooks, and chats, and to interact as a player via the full generation pipeline.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/prpg5vzhvl)
- **Repository:** <https://github.com/fannnnnnn5822/tavern-tanuki>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "fannnnnnn5822-tavern-tanuki"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fannnnnnn5822-tavern-tanuki` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fannnnnnn5822-tavern-tanuki/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt