MCP-NLP Text Distance

Example Use Cases

• 1

  Measure similarity or distance between text sequences using various algorithms.

• 2

  Integrate NLP text distance capabilities into their MCP-based workflows.

• 3

  A lightweight, customizable MCP server for text distance calculations.

Description

MCP-NLP is a FastMCP-based application that offers natural language processing tools via the Model Context Protocol. It primarily provides a text distance module that calculates similarity and distance metrics between text sequences using algorithms like Levenshtein. The server supports both unauthenticated and API key authentication modes, and can be run locally or via Docker. Integration with VS Code is also supported for seamless use within development environments.