# Tagging MCP

> Use this tool when you need to efficiently classify and tag large CSV datasets with high accuracy, leveraging multiple Large Language Model (LLM) providers to solve data categorization challenges. It accepts CSV input and produces structured output with confidence scores and optional reasoning, making it ideal for batch classification tasks. This tool is particularly useful when dealing with complex data sets that require reliable and speedy categorization.

Canonical page: https://skillsregistry.net/skills/daviddrummond95-tagging-mcp  
JSON: https://api.skillsregistry.net/v1/skills/daviddrummond95-tagging-mcp

## Description

Enables parallel tagging and classification of CSV data using multiple LLM providers with structured output, confidence scores, and optional reasoning for batch classification tasks.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l2tqfoly3b)
- **Repository:** <https://github.com/daviddrummond95/tagging_mcp>

## 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": "daviddrummond95-tagging-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/daviddrummond95-tagging-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/daviddrummond95-tagging-mcp/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