4,000+ servers built on MCP Fusion
Vinkius
Mastra AISDK
Mastra AI
Why use Amplenote MCP Server with Mastra AI?

Bring Task Management
to Mastra AI

Create your Vinkius account to connect Amplenote to Mastra AI and start using all 12 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Create NoteCreate TaskDelete NoteGet NoteGet Note ActionsGet TaskList NotesList TagsList TasksSearch NotesUpdate NoteUpdate Task
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Amplenote

What is the Amplenote MCP Server?

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 #urgent and 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.

Built-in capabilities (12)

create_note

Use for adding documentation, meeting notes, or project plans. Create a new note with a title and Markdown body content

create_task

Tasks in Amplenote live inside notes and have due dates, priorities, and completion tracking. Use for adding actionable items. Create a new task

delete_note

Permanently delete a note by UUID

get_note

Essential for reading or analyzing a specific document. Retrieve the full content and metadata of a specific note by UUID

get_note_actions

Use to discover what operations can be performed on a note. Retrieve available actions for a specific note

get_task

Use to inspect or update a single task. Retrieve a specific task by its ID

list_notes

Use as the primary way to browse the entire knowledge base. List all notes in the Amplenote workspace

list_tags

Returns tag names and usage counts. Use to discover the knowledge taxonomy. List all tags used across notes and tasks

list_tasks

Returns task content, completion status, due dates, and parent note references. Use for task management overview. List all tasks across all notes

search_notes

Use when the user wants to find content by keyword. Full-text search across all Amplenote notes and tasks

update_note

Use for editing content, fixing errors, or appending information. Update an existing note title and/or Markdown body by UUID

update_task

Use for task progress tracking and management. Update a task content, completion status, or other properties

Why Mastra AI?

Mastra's agent abstraction provides a clean separation between LLM logic and Amplenote tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

  • Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Amplenote without touching business code

  • Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

  • TypeScript-native: full type inference for every Amplenote tool response with IDE autocomplete and compile-time checks

  • One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

M
See it in action

Amplenote in Mastra AI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Amplenote with Vinkius?

The Amplenote connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 12 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

Amplenote
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Amplenote using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Amplenote and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Amplenote to Mastra AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Amplenote for Mastra AI

Every request between Mastra AI and Amplenote is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.

05

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.

06

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

07

createMCPClient not exported

Install: npm install @mastra/mcp

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