# Text Classification MCP Server (Model2Vec)

> Use this tool when you need to quickly categorize large volumes of text into predefined categories, such as technology or health, to solve problems like information filtering, content organization, or topic modeling. It takes in text data and outputs categorized labels, with options for custom category management and batch processing. Ideal for applications where fast and accurate text classification is crucial, such as data mining, sentiment analysis, or automated content tagging.

Canonical page: https://skillsregistry.net/skills/baobab-tech-mcp-text-classifier  
JSON: https://api.skillsregistry.net/v1/skills/baobab-tech-mcp-text-classifier

## Description

Enables fast text classification using Model2Vec static embeddings with 10 default categories (technology, business, health, etc.), supports custom category management, batch processing, and provides both local and remote deployment options.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lgbrm7fpva)
- **Repository:** <https://github.com/baobab-tech/mcp-text-classifier>

## 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": "baobab-tech-mcp-text-classifier"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/baobab-tech-mcp-text-classifier` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/baobab-tech-mcp-text-classifier/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
