"Information about notes or note-taking" matching MCP servers:

Provides an agent-first note-taking system designed from the ground up for AI collaboration. Organizes your notes as a local vault of ordinary markdown files with semantic note types.

A Model Context Protocol server that enables semantic search and RAG over your Apple Notes, allowing AI assistants like Claude to search and reference your notes during conversations.

Enables collaboration across Claude, GPT, and Gemini through a unified MCP interface, with configurable execution policies for synthesizing or directly delivering worker outputs.

Search and discover AI agents, skills, prompts, bundles and MCP connectors from a curated catalog of 4500+ assets. Provides tools for searching, browsing categories, and accessing detailed information about each asset.

Provides AI assistants with real-time access to the AGNO framework documentation by enabling them to browse, search, and fetch documentation pages. This server allows users to query information about AGNO's Agents, Teams, and Workflows directly through MCP-compatible clients.

Enables an AI agent to collaborate with a user in real-time on a web page, receiving selected elements and notes along with page context (selectors, styles, screenshots, console errors) and sending progress/completion signals back, with configurable refresh strategies (reload, event, or none).

Enables selecting a saved Codex or Claude Code session from the same PC and importing its recent context into the other tool, so work can continue across clients with source and omission information.

Enables AI agents to drive the user's already-running Google Chrome through a WebSocket bridge, listing and switching tabs, navigating, clicking, typing, scrolling, extracting DOM, taking screenshots, and evaluating JavaScript. It works without restarting Chrome and preserves all existing logins, cookies, and 2FA sessions.

Enables AI assistants to control a browser through Cloudflare Workers, allowing them to perform web automation tasks like navigation, typing, clicking, and taking screenshots. Provides 14 browser automation tools that can be used with various AI platforms including Claude Desktop and VS Code.

Enables LLMs like Claude to navigate the web through Puppeteer-based tools and Steel. Based on the Web Voyager framework, it provides tools for all the standard web actions click clicking/scrolling/typing/etc and taking screenshots.

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

A FastMCP server providing real-time weather, news retrieval, and local note management tools for autonomous CrewAI agents. It enables context-aware multi-agent workflows with observability and high-speed inference integration.

The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.

Enables AI agents to drive a user-launched Firefox instance via its native Marionette protocol, providing precise DOM actuation like clicking, typing, uploading files, taking screenshots, and evaluating JavaScript.

A Model Context Protocol server that enables AI assistants to control a real web browser with stealth capabilities, avoiding bot detection while performing tasks like clicking, filling forms, taking screenshots, and extracting data.

A message bus that enables AI assistants (Claude, ChatGPT, Gemini, Perplexity) to communicate via shared channels using MCP or REST APIs.

Enables AI agents to track session lifecycles, persist context notes and transcripts, and manage a human-gated memory-promotion pipeline with an append-only audit trail.

Enables structured team communication for Claude Code agents through Slack-like channels and direct messages. Supports project isolation, subscription management, and agent notes for sophisticated multi-agent collaboration workflows.

An MCP server that exposes web lookup, save note, and list notes tools for a router-research-writer agent pipeline, enabling coordinated multi-agent workflows via the Model Context Protocol.

A server that enables AI models to access user geolocation information via EdgeOne Pages Functions through the Model Context Protocol.