"MCP servers related to meeting minutes/notes" matching MCP servers:

Enables automatic generation of structured meeting minutes from Feishu meeting links, date ranges, or arbitrary meeting transcripts, with summaries and action items organized by department.

Enables reading unstructured meeting notes, generating meeting minutes drafts, validating them against source text, and saving approved versions through a local MCP server.

Meeting Summarizer AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables managing plain-text notes on disk through MCP resources, tools, and prompts, so natural-language requests can create, read, search, delete, and summarize notes via an interactive client.

MCP server that converts PDF, video, web, and audio inputs into structured Markdown notes with support for checkpointing, batch processing, and Obsidian integration.

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

Enables MCP-compatible clients to create, list, search, and delete notes, read all notes as markdown, and use prompts to summarize or clean up notes.

Lets users search, add, and summarize their saved entries, and expose them as context to AI clients through a local JSON-backed store.

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.

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 an LLM to keep a persistent scratchpad by adding and reading notes, retrieving the latest note as context, and generating summaries through MCP.

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

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

Connects your Plaud voice recorder to Claude, giving access to recordings, transcripts, and AI summaries so you can query your notes via natural language.

Automatically extracts subtitles, captures screenshots at specified timestamps, and generates structured Obsidian markdown notes from YouTube videos using Claude AI.

Quorum is an MCP server for querying meeting archives in natural language, returning answers with citations to speakers and timestamps or explicitly abstaining when evidence is insufficient.

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.

Lightweight MCP server for adding, reading, and summarizing sticky notes persisted in a local file.

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.

Enables AI agents to create, read, and summarize sticky notes stored in a local text file through MCP tools, resources, and prompts.

Enables AI assistants to manage local sticky notes, allowing users to add, read, retrieve the latest note, and generate AI summaries through natural language.

Enables search, retrieval, and summarization of Japanese National Diet meeting minutes via MCP tools.

Read-only MCP server for searching and retrieving LogicNotes meeting notes, including summaries, transcripts, and action items.

Provides calendar, email, meeting transcription and summarization, and weather tools via MCP, enabling users to manage schedules, handle correspondence, capture meeting insights, and check conditions through natural language.

Enables access to Granola meeting notes through OAuth authentication, allowing users to search, retrieve, and summarize meeting transcripts and documents.

A Model Context Protocol server that distills documents from multiple sources into HTML articles and Obsidian notes, with features like key element detection, image filtering, and async task management.

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.

Enables LLMs to interact with Fathom.video API for managing meeting recordings, retrieving transcripts and AI-generated summaries, searching meeting content, and accessing analytics and team data.

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.