"Information about Gmail MCP Node" matching MCP servers:

A TypeScript-based MCP server built on the Gmail API that implements a simple notes system. It enables users to create, manage, and summarize text-based notes through specialized resources and tools.

Enables searching and summarizing emails across multiple Gmail accounts simultaneously through Claude.

Enables AI agents to query and recall your entire Gmail inbox locally, providing fast summarization and semantic search without relying on Gmail's search API.

Enables natural language management of Gmail through MCP tools for searching, analyzing, summarizing, drafting, and sending emails, with AI reasoning and user confirmation for actions.

Enables semantic search, retrieval, and summarization of Gmail emails with privacy-aware classification and PII sanitization.

Enables intelligent Gmail management, including email triage, newsletter classification, promotional email cleanup, summarization, filter suggestions, draft replies, and audit logging.

Enables AI models to fetch and summarize Gmail messages, send emails with attachments, and convert text content into PDFs. It streamlines email-based workflows like automated reporting and task management through the Model Context Protocol.

Local MCP server that manages Gmail OAuth 2.0 authentication (read-only) and filter setup, with planned AI-driven email digest and summarization features.

A small MCP server that gives agents rich context about a YouTube video — its transcript, jump-to-the-moment deep links, metadata, and most-replayed moments — so they can answer questions, summarize, pull quotes, or surface highlights.

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.

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 quick deployment of a trending news assistant with multi-channel notification and AI analysis, helping users stay updated with relevant news.

Analyzes YouTube videos using Google's Gemini API, allowing users to get summaries or ask questions about video content via direct URL input.

Provides MCP tools for querying and summarizing Northwest A&F University campus information, including trending QQ channel posts, official website notices/events/competitions, and cross-site custom searches with Markdown output and source links.

distill-mcp-v2 is a high-performance, network-dependency-free Python FastMCP server designed to aggressively optimize Large Language Model (LLM) context windows. It provides specialized tools for compressing and analyzing massive AI-agent payloads without losing critical semantic information.

MCP server for Glanceway, the macOS menu bar information app, enabling AI assistants to read sources and items.

Unofficial MCP server wrapping crawl4ai that enables extraction and analysis of content from web pages, PDFs, Office documents, YouTube videos, and more, with AI-powered summarization and Google search integration to reduce token usage while preserving key information.

K-Mail-MCP is an MCP server that connects 6 mail services — Naver, Daum/Kakao, Gmail, Nate, Yahoo, and iCloud — to Claude AI. It enables AI-powered email summarization, translation, spam detection, and unified inbox management — all with AES-256-GCM encrypted credentials.

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

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.

Wraps the gpt-researcher tool as an MCP server, enabling automated web research, information summarization, and structured report generation via natural language queries.

Enables agents to turn Bilibili course videos into structured VitePress study notes by extracting subtitles, generating organized notes with key points and active recall, and saving them locally. It also supports video search and metadata retrieval through MCP tools.

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

Analyzes meeting transcripts to determine if they could have been emails, returning filler word count, decisions, action items, and a suggested email.

Enables users to turn household paperwork into answers about upcoming deadlines, warranties, and plain-language explanations, and to draft related messages such as payment extension requests.

Enables LLM agents to collect, parse, summarize, prioritize, and extract tasks from email and attachments through deterministic MCP tools, while enforcing explicit approval boundaries for sensitive actions such as replies.

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 note management MCP server that enables users to store, retrieve, and summarize personal notes via a custom URI scheme. It provides tools for adding content and prompts for generating brief or detailed summaries of stored information.

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

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