Overview

The category-detector MCP server delivers text classification functionality through the Model Context Protocol. It analyzes natural language inputs and assigns a single category from a fixed list, enabling programmatic categorization without custom model training.

Key Capabilities

category_detector: Accepts text strings (up to 2000 characters) and returns the highest-confidence category label along with a confidence score (0-1). Supports categories like Artificial Intelligence/Machine Learning, Data & Analytics, Financial Services, Healthcare, and others. Processes inputs in real-time for batch or single queries.

No additional tools are exposed; the core endpoint handles all classification tasks.

Use Cases

Content Management: Feed article abstracts into category_detector to auto-tag posts in a blog platform, routing AI content to tech sections and finance pieces to business feeds.
E-commerce Inventory: Classify product descriptions with category_detector to assign SKUs to shelves like 'Marketing Tools' or 'Security', reducing manual review by 80%.
Data Pipeline Filtering: In ETL jobs, run category_detector on incoming logs or user queries to route Healthcare-related data to compliance queues and Developer Tools entries to engineering dashboards.
Recommendation Engines: Use category_detector outputs to match user interests, suggesting Productivity apps to users whose queries classify under that category.

Who This Is For

Developers integrating lightweight classification into web apps or APIs.
Data analysts building categorization layers for unstructured text datasets.
Backend engineers handling content ingestion in scalable systems.

This server suits scenarios requiring quick, predefined category assignment without full NLP model hosting.