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.
Added on:
Created by:
Apr 28 2025
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.
Added on:
Created by:
Apr 28 2025
yuiseki
Featured
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
FAQs of Text Count MCP Server
Developer
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