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

Detects AI-generated content and transforms robotic text into natural, human-like writing while improving grammar, readability, and preserving key terminology.

An MCP implementation that integrates the Brave Search API, providing comprehensive search capabilities including web, local business, image, video, news searches, and AI-powered summarization.

Provides intelligent manuscript analysis and writing assistance for markdown projects, including semantic search, quality checks, terminology consistency, link validation, progress tracking, and comprehensive writing statistics.

A Model Context Protocol server that enables AI assistants to translate and rephrase text between numerous languages using the DeepL API.

xiaobenyang-mcp-2

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

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.

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

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

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

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

Enables creating and managing text notes through MCP resources and tools. Provides note creation capabilities and automatic summarization of all stored notes.

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.

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

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

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

A Model Context Protocol server that implements a simple notes system, allowing users to create, list, and summarize text notes.

Enables Claude Desktop to generate text and analyze images using Google's Gemini Pro API. Provides seamless integration between Claude and Gemini's AI capabilities through natural language commands.

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 enables access to YouTube video content through transcripts, translations, summaries, and subtitle generation in various languages.

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 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.

Enables automatic conversation summarization by typing -sun command, which analyzes the current chat session and saves structured summaries as .mdc files with key insights, outcomes, and next steps.

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

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

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.

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

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.

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.

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

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

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

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.

A comprehensive Model Context Protocol server for content summarization that supports web scraping, file reading, content summarization, and topic-based summarization features.

Generates natural, fluent Chinese content that reads like human writing using the Qwen3-Next-80B-A3B model. Supports web search for latest information and direct file saving with customizable writing rules.

Enables AI-generated text detection using the GPTZero API. Provides confidence scores and detailed analysis to identify whether text was written by humans or AI, with multilingual support.

Summarizes your chat messages.

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.

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 allows creating, storing, and summarizing notes with customizable detail levels.

An MCP server that converts PDF files to Markdown format using AI sampling capabilities, supporting both local files and URLs with incremental conversion features.

MCP server that connects AI assistants to ReviewWebsite.com API for creating and managing website reviews, extracting data, converting URLs to markdown, and interacting with web content.

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

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

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

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

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

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

The URL-Context-MCP MCP Server provides a tool to analyze and summarize the content of URLs using Google Gemini's URL Context capability via the Gemini API. Now also supports optional grounding with Google Search alongside URL Context. The server is designed to follow prompt-only orchestration: con

Enables counting characters or bytes in text with options to include or exclude whitespace. Provides a simple tool for text analysis and length measurement.

Provides powerful Markdown document editing capabilities with thread-safe operations, atomic transactions, and comprehensive validation.

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

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

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.

Transforms chat conversations with AI into structured markdown summaries and automatically saves them to organized files in your notes directory. Supports different summary styles, handles large conversations through chunking, and provides tools to manage your saved summaries.

Enables automatic validation and correction of Re:VIEW manuscript files by checking for unauthorized tags, fixing duplicate/empty IDs, and running fast lint checks to prevent common errors during writing.

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

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.

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

Provides various AI capabilities through DeepInfra's OpenAI-compatible API including image generation, text processing, embeddings, speech recognition, object detection, and classification tasks. Enables users to access multiple AI models for diverse tasks like generating images from prompts, transcribing audio, analyzing text sentiment, and performing computer vision operations.

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.

Integrates Vale prose linting into AI coding assistants, enabling users to check text files for style and grammar issues using Vale's powerful linting engine. Provides automated style feedback with smart configuration discovery and rich formatted results.

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

Unofficial MCP server for working with Kagi without API access (you'll need to be a customer, tho). Searches and summarizes. Uses Kagi session token for easy authentication.

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

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

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

Enables generation of Satori syntax templates for creating engaging 140-character X (Twitter) posts. Supports five different structure types including basic forms, contrarian takes, news-based content, shocking news, and step-by-step guides.

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

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

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

Search and retrieve news articles and trending keywords from Google News and Google Trends. Summarize articles and extract keywords using optional NLP and LLM Sampling to get concise insights.

Enables users to connect to their email inbox via IMAP to search, filter, and summarize emails based on criteria like subject, date, and sender. Supports marking emails as read and provides customizable email summarization with various prompt options.

Enables creating and managing text notes with a simple note-taking system. Provides tools to create notes, access them via URIs, and generate summaries of all stored notes.

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.

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.

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 implements a simple notes system, allowing users to create, access, and generate summaries of text notes via URIs and tools.

A simple notes system that allows creating, storing, and accessing text notes through MCP resources and tools, with prompt support for generating summaries of all stored notes.

A Model Context Protocol server that integrates with the Acrolinx NextGen API to provide advanced text analysis and improvement capabilities to AI assistants like Claude, offering features such as text rewriting, content analysis, and writing suggestions.

Enables AI assistants to save, load, and search conversation context with AI-powered summarization and auto-tagging. Demonstrates semantic intent patterns and hexagonal architecture for maintainable AI-assisted development.

Accurately counts Japanese text characters using grapheme clusters, properly handling surrogate pairs and combining characters through the Intl.Segmenter API.

Enables intelligent Markdown document analysis including extracting table of contents with hierarchy, detecting numbering issues like duplicates and discontinuities, and generating formatted TOC content in multiple output formats.

Enables natural language querying of Microsoft Fabric Data Warehouses with intelligent SQL generation, metadata exploration, and business-friendly result summarization. Features two-layer architecture with MCP-compliant server and agentic AI reasoning for production-ready enterprise data access.

Provides comprehensive text analysis capabilities including character counting, word statistics, character type analysis, and text length validation for Korean and English text. Supports AI agents in analyzing and validating text content with detailed statistics and Unicode support.

Automatically generates comprehensive merge request summaries from git logs, analyzing commit history and categorizing changes into structured descriptions. Provides tools to analyze git repositories, compare branches, and create detailed summaries with change categorization, impact analysis, and review time estimates.

Enables Claude to read and analyze PDF documents with automatic OCR processing for scanned files. Features intelligent text extraction, caching for performance, and secure file access with search capabilities.

Enables intelligent RSS feed management and analysis through Inoreader integration. Supports reading articles, search, bulk operations, and AI-powered content analysis including summarization, trend analysis, and sentiment analysis.

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.

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

Parses WeChat public account articles to extract metadata, content, and generate AI-powered summaries with semantic analysis, viewpoint extraction, and structure analysis capabilities.

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

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.

A Docker-containerized MCP proxy that provides AI image generation, text generation, vision analysis, and text-to-speech capabilities through REST endpoints using Pollinations AI services. Enables multimodal AI interactions including image creation, transformation, OCR, and audio generation through standard HTTP APIs.

Enables reflective thinking and memory storage with support for multiple AI providers (OpenAI, Anthropic, Gemini, Ollama) or local fallback. Stores contextual memories locally and provides tools for reflection, questioning, note-taking, and summarization across different conversation keys.

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.

Enables integration with Kagi search engine services including web search, content summarization from URLs, and AI assistant conversations. Uses session tokens to access Kagi's search API, summarizer, and AI models directly within MCP-compatible applications.

A production-ready TypeScript MCP server providing basic tools (add, echo, timestamp), resources (server info, greetings, data access), and prompt templates (analyze, code-review, summarize). Serves as a foundation for building custom MCP servers with extensible architecture.

A Flask-based MCP server with web GUI that provides utility tools for mathematical calculations, text analysis, string transformations, timestamps, and Fibonacci sequence generation.

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,

Enhances and cleans raw prompts using AI to make them more clear, actionable, and effective. Provides quality assessment, suggestions, and supports both general and code-specific optimization modes.

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

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

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

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.

Enables AI-driven workflows to extract keyphrases more accurately and with higher relevance using the BERT machine learning model. It works directly with your local files in the allowed directories saving the context tokens for your agentic LLM.

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.

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.

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

Enables Chinese text segmentation using the jieba library with support for precise, full, and search engine modes. Provides natural language access to professional Chinese word segmentation capabilities through MCP protocol.

A Model Context Protocol server that searches educational articles from todamateria.com.br and automatically creates structured reading cards with summaries, key points, and citations.

A simple note storage system that enables Claude to create, access, and summarize plain text notes with customizable detail levels.

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 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 Claude Desktop MCP server that extracts and summarizes Medium articles from specified URLs, with support for Italian language summaries and local storage for future reference.

Enables access to 200,000+ machine learning models through the Hugging Face Inference API. Supports text generation, image creation, classification, translation, speech processing, embeddings, and more AI tasks.

Enables AI assistants to fetch and analyze web content from URLs through MCP protocol. Supports batch processing, content extraction, summarization, and metadata extraction with intelligent filtering of ads and navigation elements.

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.

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

Enables LLMs to search, analyze, and summarize academic research papers in real-time from arXiv, Semantic Scholar, and PubMed. Provides automatic deduplication, citation analysis, and BibTeX generation across multiple research databases.

A lightweight tool that uses Mistral AI running locally to generate structured GitHub pull request descriptions from git diffs.

An AI-powered meeting assistant that combines FastAPI backend with React frontend to generate high-quality meeting summaries and provide Q&A functionality using OpenAI and Selenium.

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

An MCP-compatible server that integrates with Gmail API to fetch and summarize emails based on custom queries or recent activity.

Enables fetching, searching, and summarizing WeChat public account articles through browser automation. Supports multiple output formats and provides article metadata and statistics.

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.

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.

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.

A modular production-ready system that provides specialized agents for math, research, weather, and summarization tasks through a unified MCP toolbox with smart supervisor capabilities.

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

Turkish sentiment anlaysis with MCP

A simple MCP server that implements a note storage system allowing users to add and summarize notes with customizable detail levels.

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

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

Provides basic text manipulation and analysis tools including word reversal and character counting. Designed for integration with Le Chat and other MCP-compatible clients.

A lightweight Gradio application that analyzes text for sentiment (positive/negative) and sarcasm detection using Hugging Face Transformers, designed to run on CPU and compatible with the MCP server architecture.

A comprehensive document analysis server that performs sentiment analysis, keyword extraction, readability scoring, and text statistics while providing document management capabilities including storage, search, and organization.

A Model Context Protocol server that allows AI assistants to discover, load, and process local documents on Windows systems, with support for multiple file formats and OCR capabilities for scanned PDFs.

A Model Context Protocol server that scrapes blog posts from V2.ai Insights, extracts content, and provides AI-powered summaries using OpenAI's GPT-4.

Enables fetching and analyzing YouTube video comments and replies through the YouTube Data API. Supports sorting by relevance or time and returns structured JSON data for comment analysis, summarization, and translation tasks.

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 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 comprehensive server that enables AI assistants to generate, configure, and manage Doxygen documentation for various programming languages through a clean interface.

A multi-agent system that analyzes meeting transcripts to generate summaries, extract key points, and identify actionable tasks through an easy-to-use web interface.

Enables parsing of raw resume text into structured JSON format with organized sections for skills, experience, education, and projects. Uses Google's Gemini AI model to extract and categorize resume information from unstructured text input.

A Model Context Protocol server that enables Claude to fetch, process, and extract information from PDF documents, including LaTeX mathematical equations.