Amplenote MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Amplenote through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"amplenote": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Amplenote Agent",
instructions:
"You help users interact with Amplenote " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Amplenote?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About 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.
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.
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.
The Amplenote MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Amplenote to Mastra AI via MCP
Follow these steps to integrate the Amplenote MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 12 tools from Amplenote via MCP
Why Use Mastra AI with the Amplenote MCP Server
Mastra AI provides unique advantages when paired with Amplenote through the Model Context Protocol.
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
Amplenote + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Amplenote MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Amplenote, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Amplenote as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Amplenote on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Amplenote tools alongside other MCP servers
Amplenote MCP Tools for Mastra AI (12)
These 12 tools become available when you connect Amplenote to Mastra AI via MCP:
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
Example Prompts for Amplenote in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Amplenote immediately.
"Create a new note titled 'Project Alpha Planning' and assign it the tag '#work/projects'."
"Search my Amplenote vault for all active tasks containing the word 'Budget'."
"Get the content of my 'Weekly Sync' note."
Troubleshooting Amplenote MCP Server with Mastra AI
Common issues when connecting Amplenote to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAmplenote + Mastra AI FAQ
Common questions about integrating Amplenote MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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.
Connect Amplenote to Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.