MCP Smart Text Processor

Example Use Cases

• 1

  Summarize large bodies of text efficiently.

• 2

  Analyze the sentiment of textual data.

• 3

  Extract keywords from text for indexing or search.

Description

This Python application uses a Model Control Plane (MCP) to route text processing tasks to the appropriate machine learning models, including summarization, sentiment analysis, and keyword extraction. It exposes these functionalities through a FastAPI REST API, enabling easy integration and usage. All model versions and improvements are tracked using Git, ensuring version control and reproducibility.