MCP Text Classifier MCP Server

This server provides **6 essential tools**, **2 resources**, and **1 prompt template** for text classification:

Local serverstdioPython

What is the MCP Text Classifier MCP server?

MCP Text Classifier MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. This server provides 6 essential tools, 2 resources, and 1 prompt template for text classification:.

What the assistant can call

Once MCP Text Classifier is connected, these are the calls the assistant has available:

  • Prerequisites — The Prerequisites tool exposed by this server
  • classify_text — Classify a single text into predefined categories with confidence scores
  • batch_classify — Classify multiple texts simultaneously for efficient processing
  • add_custom_category — The add_custom_category tool exposed by this server
  • batch_add_custom_categories — Add multiple custom categories in a single operation for efficiency
  • list_categories — The list_categories tool exposed by this server
  • remove_categories — Remove one or multiple categories from the classification system

Setting it up

@modelcontextprotocol/inspector on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.

Configuration and credentials

  • Python 3.10+ - uv package manager

Choosing this one

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. MCP Text Classifier's toolset — Prerequisites, classify_text, batch_classify and 4 more — is a fair guide to whether it matches your workflow. It is maintained by baobab-tech; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the mcp text classifier mcp server does with a few real requests.

Available tools

ToolWhat it does
PrerequisitesThe Prerequisites tool exposed by this server.
classify_textClassify a single text into predefined categories with confidence scores.
batch_classifyClassify multiple texts simultaneously for efficient processing.
add_custom_categoryThe add_custom_category tool exposed by this server.
batch_add_custom_categoriesAdd multiple custom categories in a single operation for efficiency.
list_categoriesThe list_categories tool exposed by this server.
remove_categoriesRemove one or multiple categories from the classification system.

How to install the MCP Text Classifier MCP server

{
  "mcpServers": {
    "text-classifier": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/inspector"]
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

  • Python 3.10+ - uv package manager

Example prompts to try

  • Use MCP Text Classifier to Prerequisites.
  • Use MCP Text Classifier to classify text.
  • Use MCP Text Classifier to batch classify.

Frequently asked questions

It connects MCP Text Classifier to MCP-compatible AI assistants such as Claude and Cursor, exposing 7 tools (Prerequisites, classify_text, batch_classify, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP Text Classifier directly.