Tagging MCP
Enables parallel tagging and classification of CSV data using multiple LLM providers with structured output, confidence scores, and optional reasoning for batch classification tasks.
What is Tagging MCP?
Tagging MCP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables parallel tagging and classification of csv data using multiple llm providers with structured output, confidence scores, and optional reasoning for batch classification tasks.
Enables parallel tagging and classification of CSV data using multiple LLM providers with structured output, confidence scores, and optional reasoning for batch classification tasks.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables parallel tagging and classification of CSV data usin
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx tagging-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Tagging MCP
What is Tagging MCP?
Tagging MCP is a Model Context Protocol (MCP) server that enables parallel tagging and classification of csv data using multiple llm providers with structured output, confidence scores, and optional reasoning for batch classification tasks. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Tagging MCP?
Follow the installation instructions on the Tagging MCP GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Tagging MCP?
Tagging MCP works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Tagging MCP free to use?
Yes, Tagging MCP is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Set Up Tagging MCP 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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