Provides intelligent transcript processing capabilities for Claude, featuring natural formatting, contextual repair, and smart summarization powered by Deep Thinking LLMs.

Provides comprehensive document processing, including reading, converting, and manipulating various document formats with advanced text and HTML processing capabilities.

A Model Context Protocol server that enables AI agents to join and interact with online meetings (Zoom and Google Meet), capturing transcripts and recordings to generate meeting summaries.

Bridges YouTube API and AI assistants, enabling video analysis by downloading and processing closed captions to create summaries of YouTube videos.

Provides 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.

A TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of text notes via URIs and tools.

This server provides a tool to generate unified diffs between two text strings, facilitating text comparison and analysis.

Helps refine AI-generated content to sound more natural and human-like. Built with advanced AI detection and text enhancement capabilities.

A TypeScript-based MCP server that interacts with Contentful's Delivery API, enabling users to create, query, and summarize text notes through natural language.

Converts various file formats to Markdown using the MarkItDown utility and can be integrated with MCP clients for seamless document processing and conversion.

Fetches and processes Hacker News discussions to prepare them for Claude to generate high-quality summaries, handling comment structure and metadata to help Claude understand the relative importance of different comments.

An MCP server for managing and persisting notes, offering CRUD operations, note summarization, and resource-based access via a note:// URI scheme.

This TypeScript-based MCP server allows users to manage and interact with a note system through Model Context Protocol, enabling note creation and summarization with URIs and metadata.

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.

Counts characters and words in both Japanese and English text files, with special handling for Japanese morphological analysis and proper character counting excluding spaces and line breaks.

An MCP server that enables users to generate summaries of YouTube videos in multiple languages and formats through integration with DeepSRT's API.

This is a server implementation for performing Optical Character Recognition (OCR) using the Google Cloud Vision API. It is built on top of the FastMCP framework, which allows for the creation of modular and extensible command processing tools.

A server for connecting to a local ComfyUI instance that enables storing and summarizing notes with custom URI scheme support.

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.

MCP (Model Context Protocol) server that utilizes the Google Gemini Vision API to interact with YouTube videos. It allows users to get descriptions, summaries, answers to questions, and extract key moments from YouTube videos.

This TypeScript-based server implements a simple notes system using MCP concepts, enabling users to create, list, and summarize text notes through natural language prompts.

An MCP-based service that analyzes user search keywords to determine their intent, providing classifications, reasoning, references, and search suggestions to support SEO analysis.

This TypeScript-based MCP server enables users to manage and summarize text notes, providing tools for note creation and summarization prompts.

A TypeScript-based MCP server that implements a simple notes system, enabling users to manage text notes with creation and summarization functionalities through structured prompts.

MCP Server for AI Summarization, Support for multiple content types: * Plain text * Web pages * PDF documents * EPUB books * HTML content

A TypeScript-based MCP server implementing a simple notes system that allows users to create, access, and generate summaries of text notes.

A TypeScript-based MCP server for handling a simple notes system with NextJS that supports creating and summarizing text notes using MCP concepts.

A Python-based server that provides access to Whissle API endpoints for speech-to-text, diarization, translation, and text summarization.

An MCP server that provides a tool to extract text content from local PDF files, supporting both standard PDF reading and OCR capabilities with optional page selection.

A server providing access to news articles from various categories including tech, data science, cybersecurity, and more, allowing retrieval and summarization of latest content.

A simple note storage system that lets users create and summarize notes with varying detail levels using Claude.

A lightweight server that provides detailed text analysis, counting total characters, characters without spaces, letters, numbers, and symbols for AI assistants like Claude Desktop and GitHub Copilot.

This server enables users to store, manage, and summarize notes using a custom URI scheme, with functionality to add new notes and generate summaries with varying levels of detail.

A simple note storage system that allows creating, storing, and summarizing notes with customizable detail levels.

Analyzes sentiment in news headlines from major US publications using both standard and natural language date inputs, enabling insights into public sentiment trends.

Summarizes your chat messages.

Enables access to Fireflies.ai API for retrieving, searching, and summarizing meeting transcripts with various filtering options and formats.

A server for managing and summarizing notes using a custom URI scheme, with tools to add notes and create styled summaries.

This server provides a note storage system with a custom URI scheme, allowing users to add and summarize notes, with adjustable summary detail levels.

A simple TypeScript-based MCP server that implements a notes system, allowing users to create, list, and generate summaries of text notes via Claude.

An MCP server that intelligently chunks large documents for Claude, enabling efficient context-aware processing and summary generation for enhanced document comprehension.

An MCP server for Zoho Creator's Scaflog application that provides note management functionality with capabilities to store, access, and summarize notes.

Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol.

A server that provides document processing capabilities using the Model Context Protocol, allowing conversion of documents to markdown, extraction of tables, and processing of document images.

Unified Narrative Operator, seamlessly enrish and expand text, 5-in-1 Agentic design.

This MCP server performs multi-topic searches in business, news, finance, and politics using the Tavily API, providing high-quality sources and intelligent summaries.

A Model Context Protocol server that enables retrieval of transcripts from YouTube videos with language-specific support.

An MCP server that exports PDF documents to markdown format optimized for LLM processing.

A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.

A Claude-compatible MCP server that enables storing and summarizing notes through a simple note storage system with custom URI scheme.

A server implementing the Model Context Protocol that enables AI assistants like Claude to interact with Google's Gemini API for text generation, text analysis, and chat conversations.

A TypeScript-based MCP server for SearXNG that allows users to create and summarize text notes using simple URIs and metadata, facilitating natural language interaction with stored content.

A simple MCP server implementing a note storage system with one tool to add notes and one prompt to summarize stored notes.

A simple MCP server for creating and managing notes with support for summarization functionality.

Enables interaction with YouTube videos by extracting metadata, captions in multiple languages, and converting content to markdown with various templates.

A TypeScript-based MCP server that implements a simple notes system, allowing creation and management of text notes with URIs and metadata.

Enables AI language models to interact with YouTube content through a standardized interface, providing tools for retrieving video information, transcripts, channel analytics, and trend analysis.

An AI-powered server that analyzes uploaded images and automatically generates explanatory text (docent) for various images.

Enables LLMs to retrieve and analyze Steam game reviews, providing access to review statistics, game information, and helping summarize pros and cons of games.

A Model Context Protocol server that analyzes YouTube videos, enabling users to extract transcripts, generate summaries, and query video content using Gemini AI.

A TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of text notes.

Facilitates note storage and summarization through custom URIs, allowing users to manage, summarize, and update notes with varying detail levels in a collaborative environment.

A Python-based MCP server that allows users to create, read, and manage digital sticky notes with Claude integration for AI-powered note summarization.

A TypeScript-based MCP server that enables users to manage text notes with features like note creation and summary generation using a Model Context Protocol.

A TypeScript-based MCP server that enables users to manage text notes and generate summaries, showcasing key MCP concepts like resource representation and LLM integration.

Enables interaction with Curri's API by managing text notes, offering tools for note creation, and generating summaries using structured prompts.

A PDF processing server that extracts text via normal parsing or OCR, and retrieves images from PDF files through the MCP protocol with a built-in web debugger.

A powerful Word document processing service based on FastMCP, enabling AI assistants to create, edit, and manage docx files with full formatting support. Preserves original styles when editing content.

Allows you to search the web using DuckDuckGo and optionally fetch and summarize content from search results.

A TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of text notes through Claude Desktop.

An MCP server that enables generating scripts based on specified topics and keywords, while also providing functionality to store and summarize notes.

Enables AI applications to integrate with YouTube-Summarizer's APIs through the MCP protocol, offering local tool-based interaction for summarizing YouTube content.

Votars is the world's smartest multilingual meeting assistant, designed for voice recording, transcription, and advanced AI processing. It features real-time translation, intelligent error correction, AI summarization, smart content generation, and AI discussions. The Votars app is available on Web,

A TypeScript-based Model Context Protocol server that fetches, searches, and formats news articles from NewsAPI.org into reader-friendly Markdown digests using LLMs (Gemini and Claude).

A Model Context Protocol server that enables access to YouTube video content through transcripts, translations, summaries, and subtitle generation in various languages.

A Model Context Protocol server that provides AI-powered features for the Transcripter project, including tools for searching and summarizing transcriptions and resources for accessing transcription and analysis data.

A simple note-taking MCP server that allows storing and summarizing notes with custom URI schemes and provides functionality to add notes and generate summaries with different detail levels.

This TypeScript-based MCP server allows users to manage a simple notes system through creating and summarizing text notes using Model Context Protocol (MCP).

The MCP Server integrates APIs from the Youtube-Summarizer as tools within the MCP protocol, allowing for local AI application interaction and tool utilization through natural language queries.