Amplenote MCP Server
Connect your Amplenote workspace to your AI agent — search notes, manage tasks, and organize ideas via natural language.
Ask AI about this MCP Server
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What is the Amplenote MCP Server?
The Amplenote MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Amplenote via 12 tools. Connect your Amplenote workspace to your AI agent — search notes, manage tasks, and organize ideas via natural language. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (12)
Tools for your AI Agents to operate Amplenote
Ask your AI agent "Create a new note titled 'Project Alpha Planning' and assign it the tag '#work/projects'." and get the answer without opening a single dashboard. With 12 tools connected to real Amplenote data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Amplenote MCP Server capabilities
12 toolsUse for adding documentation, meeting notes, or project plans. Create a new note with a title and Markdown body content
Tasks in Amplenote live inside notes and have due dates, priorities, and completion tracking. Use for adding actionable items. Create a new task
Permanently delete a note by UUID
Essential for reading or analyzing a specific document. Retrieve the full content and metadata of a specific note by UUID
Use to discover what operations can be performed on a note. Retrieve available actions for a specific note
Use to inspect or update a single task. Retrieve a specific task by its ID
Use as the primary way to browse the entire knowledge base. List all notes in the Amplenote workspace
Returns tag names and usage counts. Use to discover the knowledge taxonomy. List all tags used across notes and tasks
Returns task content, completion status, due dates, and parent note references. Use for task management overview. List all tasks across all notes
Use when the user wants to find content by keyword. Full-text search across all Amplenote notes and tasks
Use for editing content, fixing errors, or appending information. Update an existing note title and/or Markdown body by UUID
Use for task progress tracking and management. Update a task content, completion status, or other properties
What the Amplenote MCP Server unlocks
Connect your Amplenote account to any AI agent to fuse your personal knowledge base and task manager directly into your daily computational workflows.
What you can do
- Notes & Ideas — Read, create, list, and natively search your entire note library to pull exact context into your AI conversations seamlessly.
- Task Execution — Query specific pending to-dos, update task states, or rapidly create new tasks within specific notes without leaving the chat.
- Tag Management — Dynamically list and analyze the tag hierarchy of your Amplenote system, keeping the AI aware of your organizational framework.
- Action Tracking — Instruct the agent to invoke native Amplenote actions, maintaining deep synchronization between the AI and your existing mental models.
How it works
1. Install this integration in your active workspace.
2. Provide your secure Amplenote Personal Access Token.
3. Converse directly with your ideas via Claude, Cursor, or any compatible agent.
Who is this for?
- Knowledge Workers — command the agent to search your older research notes and synthesize a brand new outline for an upcoming essay.
- Project Leads — easily ask the AI to check all your incomplete tasks tagged with
#urgentand formulate an execution plan for today. - Developers in Flow — quickly dump meeting minutes or architecture concepts securely into Amplenote through your IDE agent without breaking deep work.
Frequently asked questions about the Amplenote MCP Server
Can the agent interact with specific individual tasks within my notes?
Yes. Amplenote's integration treats tasks as distinct manageable objects. You can not only list the pending items inside a note but also ask the agent to complete them, update their content, or inject an entirely new to-do row directly inside.
How does searching work across hundreds of deeply tagged notes?
The integration utilizes Amplenote's robust search protocol. You simply tell the agent to 'find notes containing strategy tagged with #work/2026', and it will parse your complex nested structures efficiently without blindly guessing.
Can I trust the AI agent to update existing notes without wiping the rest of the text?
Absolutely. Under the hood, the integration exposes granular update capabilities where the agent carefully dictates new structural alterations. It will append or replace specific regions accurately without overwriting unrelated brainstorming details.
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Connect Amplenote with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Amplenote MCP Server
Production-grade Amplenote MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.