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    A FastMCP server that enables AI assistants to extract structured information from unstructured text using Google's langextract library through a secure, optimized Model Context Protocol interface.
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    MIT
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    Provides 14+ character-level text analysis tools that give LLMs the ability to accurately count letters, analyze individual characters, and work with text at the character level—overcoming tokenization limitations.
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    MIT
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    A Node.js implementation of the Kagi Model Context Protocol server that enables Claude AI to search the web and summarize documents, videos, and audio using Kagi's APIs.
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    MIT
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    A simple note storage and management system that allows users to add, access, and summarize notes through a custom URI scheme. Supports creating summaries with configurable detail levels and provides real-time resource change notifications.
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    A 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.
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    Apache 2.0
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    PulseMCP Server is a TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and summarize text notes through Model Context Protocol with URI-based resource management and LLM summarization prompts.
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    MIT
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    A sophisticated research assistant that orchestrates a 5-step workflow of connected AI agents to provide deep research capabilities including question enhancement, web search, summarization, citation formatting, and result combination.
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    MIT
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    An MCP-based service that analyzes user search keywords to determine their intent, providing classifications, reasoning, references, and search suggestions to support SEO analysis.
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    ISC