"A server for AI to edit third-party note-taking documents" matching MCP servers:

Enables interaction with OpenAI-compatible model proxy APIs through MCP, supporting text generation, vision understanding, and image generation with automatic model discovery and routing.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

A production-ready Model Context Protocol server that bridges local document management with cloud synchronization (Notion) for AI agent integration, enabling seamless access and sync of local and cloud documents.

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

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 celebratory MCP server that provides information about the MCP spec graduation, including tools for trivia, toasts, and migration checklists. No authentication required.

MCP server for a full-stack note-taking application, exposing CRUD tools for notes with SSE transport for AI agent integration.

An unofficial MCP server that lets AI clients create and update article drafts on your own note.com account using session cookies.

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

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

Unofficial MCP server for note.com using cookie-based authentication to manage notes and drafts via internal APIs.

Full-text search and retrieval over official congressional documents (hearings, committee reports, Congressional Record) with citations and govinfo.gov links, designed for grounding AI answers in the official record.

Provides hashline-based file editing using line-addressed edits and content hashes for integrity verification. It enables LLMs to perform precise file modifications while ensuring edits are rejected if the file content has changed since the last read.

Enables issuing credit notes and credit memos against an invoice or standalone as revisable drafts that can be finalized into frozen numbered documents, then rendered as Markdown or printable HTML with totals broken down by currency, reason and month. All amounts are handled as integer minor units and all data stays local, so nothing is sent anywhere.

Enables atomic batch find-and-replace edits across single or multiple files, reducing tool calls and token usage for efficient code refactoring.

MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.

AI-powered image editing and generation server using Model Context Protocol, enabling intelligent image manipulation, cleanup, and generation via Google's Gemini AI models.

Read, create, and modify Figma designs programmatically via MCP, empowering AI to execute Figma changes safer, cleaner, and faster.

An MCP-compliant server that enables AI assistants like Claude Desktop to access and analyze Intercom support tickets with full conversation history.

Enables AI agents to perform deterministic video editing operations like trim, resize, add text, and more using MCP tools.