"PageSpeed Insights" matching MCP servers:

Transforms Kindle highlight exports into structured personal memory summaries saved to Notion. Parses HTML and text files to generate book insights including themes, key ideas, and actionable takeaways using the host model's context window without external AI API calls.

An MCP server that turns any compatible AI agent into a Zettelkasten partner for creating atomic notes, forming semantic links, detecting clusters, and synthesizing insights from your existing knowledge.

Enables interaction with Google's NotebookLM through natural language, allowing users to create and manage notebooks, add sources from URLs/YouTube/Google Drive, query AI for insights, generate audio podcasts and other studio content, and perform AI-powered research and analysis.

A lightweight, intelligent note-organizing server that acts as an AI-powered personal memory vault for capturing, organizing, and retrieving insights using FastMCP and SQLite.

An AI-powered goal management system that transforms traditional goal tracking into storytelling, helping users focus on one goal at a time with personalized narratives and insights that increase motivation and achievement.

Enables AI agents to query a local, continuously recorded Mac audio timeline, including speaker-labeled transcripts, topic-organized events, projects, todos, daily summaries, insights, and long-term memories.

Enables AI coding agents to save and recall atomic markdown knowledge cards connected by bidirectional links, giving them persistent memory that carries insights across sessions instead of starting from scratch. Works with Claude Code, Cursor, VS Code Copilot, Codex, Windsurf, and any MCP client using plain markdown and git sync rather than a vector database.

Gives AI coding agents persistent memory across sessions by writing each task's insights as atomic markdown knowledge cards with bidirectional links and recalling relevant ones before new work begins. Cards are shared across Claude Code, Cursor, Copilot, Codex, Windsurf and other MCP clients, and can be synced across devices via git — no vector database or embeddings required.

A comprehensive MCP server that provides Claude with private journaling and semantic search capabilities for processing thoughts, reflections, and insights.

Enables AI agents such as WorkBuddy, Cursor, and Claude Desktop to search, understand, and traverse the links of a local Obsidian vault as long-term memory, combining keyword, semantic, and graph-based retrieval. Also lets agents safely save new insights into an isolated Inbox folder without modifying existing notes.

Gives AI coding agents persistent, cross-session memory by saving insights as atomic markdown cards with bidirectional links and recalling relevant ones before new work. Requires no vector database or embeddings, and cards can be shared across clients or synced between devices via git.

Bridges Granola.ai meeting intelligence with Claude Desktop, enabling natural language access to meeting transcripts, notes, and insights.

Enables AI coding agents to store task insights as atomic markdown cards with bidirectional links and recall relevant knowledge across sessions, sharing the same card directory across MCP clients without a vector database.

An MCP server that gives AI coding agents persistent, cross-session memory by letting them save task insights as atomic markdown knowledge cards with bidirectional links and recall relevant cards before starting new work. Stores everything as plain markdown files that can be browsed, searched, and synced across clients and devices via git, with no vector database or embeddings required.

Provides AI coding agents with persistent memory that survives across sessions, letting them recall prior insights before starting work instead of starting from scratch. Knowledge is stored as plain markdown cards with bidirectional links and synchronized via git, requiring no vector database or embeddings.

Enables AI coding agents to maintain persistent cross-session memory by storing atomic knowledge cards as markdown files with bidirectional links, then recalling relevant cards before tasks and saving insights after work. It supports searching, reading, writing, linking, archiving, and git-syncing memories across MCP clients without a vector database.

Enables any MCP-capable agent to maintain a shared .apm Markdown source of truth for project goals, tasks, decisions, handoffs, and health insights. It lets multiple agents and CLI/dashboard tools coordinate using the same file-based read/write logic without a database.

MCP server that connects GFT (Git for Thought) thought graphs to AI agents, enabling them to read your confirmed thought chains and incrementally save new insights back to the graph. Uses zero AI tokens, with all reasoning done by your agent.

Enables users to log narrated dreams by voice or text and have symbols, themes, emotions, people, and places extracted automatically. It then surfaces longitudinal insights such as recurring symbols, mood and valence trends, emerging or fading themes, and streak statistics across weeks of entries.

Enables AI coding agents to save task insights as atomic, bidirectionally linked markdown cards and recall relevant ones in later sessions, with tools for searching, reading, writing, linking, archiving, and organizing a git-synced knowledge store.