Danbooru-Turso
Collects and stores Danbooru character data in a Turso cloud database with automatic pagination and upsert functionality for managing anime character post information.
What is Danbooru-Turso?
Danbooru-Turso is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to collects and stores danbooru character data in a turso cloud database with automatic pagination and upsert functionality for managing anime character post information.
Collects and stores Danbooru character data in a Turso cloud database with automatic pagination and upsert functionality for managing anime character post information.
This server falls under the Databases category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Collects and stores Danbooru character data in a Turso cloud
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx danbooru-turso-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Danbooru-Turso
What is Danbooru-Turso?
Danbooru-Turso is a Model Context Protocol (MCP) server that collects and stores danbooru character data in a turso cloud database with automatic pagination and upsert functionality for managing anime character post information. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Danbooru-Turso?
Follow the installation instructions on the Danbooru-Turso GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Danbooru-Turso?
Danbooru-Turso works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Danbooru-Turso free to use?
Yes, Danbooru-Turso is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up Danbooru-Turso in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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