"A search for information about Granola meetings app" matching MCP servers:

Enables semantic search and insight extraction across Granola meeting notes, categorizing content into themes like pain points and decisions. It provides AI assistants with tools to query meeting transcripts, summaries, and speaker-attributed quotes via a local vector index.

MCP server for Granola that exposes meeting notes, AI summaries, and transcripts to Claude.

Provides tools for accessing Granola meeting transcripts and AI-generated notes, including listing recent documents, retrieving notes/transcripts, and searching by title.

Enables searching and retrieving local Granola meeting notes, including transcripts, AI-generated summaries, and action items. It supports filtering by date or attendee and automatically reloads when the local Granola cache is updated.

Provides access to Granola notes, meeting transcripts, calendar events, and document panels through the Granola API, enabling search and retrieval of meeting-related content.

MCP server that exposes local Granola meeting notes, summaries, and transcripts to AI assistants via SQLite-backed search and retrieval.

Integrates Granola.ai meeting intelligence with MCP clients to provide direct access to meeting notes, transcripts, and workspace organization. It allows users to search and retrieve meeting content through natural language by leveraging existing Granola credentials.

Integrates local Granola.ai meeting intelligence with Claude Desktop to enable searching and analyzing meeting transcripts, notes, and summaries. Users can perform natural language queries to retrieve meeting details, analyze participant patterns, and access full speaker-identified conversations.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

MCP server for Claude Code that consolidates routine setup actions like project scaffolding, skills, landing page builds, guard hooks, images, and icons into a single entry point.

An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.

MCP server that turns raw in-app screenshots into beautiful, store-ready marketing images for the iOS App Store and Google Play.

MCP server for looking up apps, reviews, ratings, charts, in-app purchases, privacy details, and version history on Apple's App Store. It requires no API key.

An orchestrator MCP server that takes a plain-language app description and guides agents through a full workflow from intake to deployment, including design, audit, and maintenance.

An MCP server that exposes macOS Spotlight search as tools, wrapping mdfind and mdls to provide full-text and metadata file search across the system.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.