Why this server?
This server provides functionality for counting words in text documents, which directly relates to the user's search for 'word'.
AlicenseBqualityCmaintenanceA Model Context Protocol server that provides tools for analyzing text documents, including counting words and characters. This server helps LLMs perform text analysis tasks by exposing simple document statistics functionality.Last updated14410Apache 2.0Why this server?
This server allows fetching and analyzing data from Excel files, and counting words is a typical data analysis task.
Alicense-qualityBmaintenanceA thin wrapper around the OpenPyXl Python library that exposes Excel file operations as a Model Context Protocol (MCP) server, allowing Claude and other MCP clients to fetch and analyze data from Excel files.Last updated19MITWhy this server?
This server provides intelligent summarization capabilities that is useful in scenarios like text analysis to identify relevant words and their context.
Alicense-qualityCmaintenanceProvides intelligent summarization capabilities through a clean, extensible architecture. Mainly built for solving AI agents issues on big repositories, where large files can eat up the context window.Last updated1037MITWhy this server?
Extracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name. Counts the word during the extraction
AlicenseAqualityCmaintenanceExtracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name. Uses Mozilla's Readability algorithm to remove ads, navigation, footers and non-essential elements while preserving the core content structure.Last updated14717MITWhy this server?
This server is a Node.js implementation of a Model Context Protocol server for the Deepseek R1 language model, optimized for reasoning tasks with a large context window and fully integrated with Claude Desktop. This makes it able to perform the word search.
AlicenseDqualityCmaintenanceAllows seamless integration of DeepSeek's language models with MCP-compatible applications like Claude Desktop, supporting features such as model selection, temperature control, and multi-turn conversations with automatic model fallback.Last updated23752MIT