The Text Count MCP Server offers APIs to count characters and words in text inputs, supporting English and other space-delimited languages, aiding AI model processing.
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Created by:
Apr 28 2025
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What is Text Count MCP Server?
This MCP server implements the Model Context Protocol to facilitate precise text element counting, such as characters and words. It features tools like count_characters and count_words, which help AI models handle text data more effectively by providing accurate counts. The server supports English and similar languages but has limitations with Japanese and other non-space-delimited languages. It is designed for integration with various clients and enhances text analysis tasks in AI workflows.
Who will use Text Count MCP Server?
- AI developers
- Research institutions
- Natural language processing applications
- Chatbot developers
- Data analysts
How to use the Text Count MCP Server?
- Step 1: Install dependencies with 'npm install'
- Step 2: Run the server using 'node build/index.js'
- Step 3: Send a JSON request with the text to the relevant API endpoint
- Step 4: Receive the character or word count in the response
Text Count MCP Server's Core Features & Benefits
The Core Features
- count_characters
- count_words
The Benefits
- Accurate text element counting for AI models
- Supports multiple languages with space-delimited words
- Easy integration with MCP-compatible clients
Text Count MCP Server's Main Use Cases & Applications
- Text analysis for AI model training
- Counting words and characters in chatbot input processing
- Research on text length and structure
- Preprocessing in NLP pipelines