Tana MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Tana through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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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: {
"tana": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Tana Agent",
instructions:
"You help users interact with Tana " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Tana?"
);
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 Tana MCP Server
Translate your AI conversation into structured personal knowledge management seamlessly with the Tana MCP connector. Evolve your LLM into a dedicated ontological architect capable of pushing rich, contextual data fragments straight into your workspace. Bypass tedious manual entry by programming your assistant to dynamically categorize thoughts, mint native ontological classes (Supertags), and instantiate multi-level hierarchies inside your Tana graph while maintaining maximum focus in your local environment.
Mastra's agent abstraction provides a clean separation between LLM logic and Tana tool infrastructure. Connect 10 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
- Node Structuring — Swiftly inject clean data fragments anywhere by defining paths invoking
add_nodeor securely drop ideations asynchronously into your capture zone utilizingadd_to_inbox. - Ontology & Metadata — Formalize data classifications mapping real-world objects using
define_supertagand instantiate them powerfully utilizingadd_tagged_nodeandadd_node_with_fields. - Hierarchy & Linking — Push whole outline structures programmatically executing
add_node_with_childrenand enforce complex bi-directional network paths executingadd_node_reference. - Specialized Datatypes — Effortlessly instantiate formatted daily operations leveraging
add_checkbox_task, temporal entries mappingadd_date_node, or external resources resolving viaadd_url_bookmark.
The Tana MCP Server exposes 10 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 Tana to Mastra AI via MCP
Follow these steps to integrate the Tana 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 10 tools from Tana via MCP
Why Use Mastra AI with the Tana MCP Server
Mastra AI provides unique advantages when paired with Tana through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Tana 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 Tana 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
Tana + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Tana MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Tana, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Tana as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Tana on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Tana tools alongside other MCP servers
Tana MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Tana to Mastra AI via MCP:
add_checkbox_task
Optionally set initial done status. Creates a checkbox/todo item in the Tana inbox
add_date_node
Format: YYYY-MM-DD. Creates a date-typed node in the Tana inbox
add_node
Provide a target node ID (or "INBOX", "LIBRARY") and the node name. Creates a new node in a specific Tana location
add_node_reference
Provide a label and the target node ID. Creates a reference node linking to an existing node
add_node_with_children
Provide a name and comma-separated children. Creates a parent node with multiple child nodes
add_node_with_fields
Provide name, supertag ID, and field data as a JSON object. Creates a supertagged node with structured field values
add_tagged_node
g. #meeting, #person). Requires the supertag ID from Tana schema. Creates a new node with a supertag applied
add_to_inbox
Quickly adds a new node directly to the Tana Inbox
add_url_bookmark
Creates a URL-typed node in Tana
define_supertag
Provide a name and description. Defines a new supertag in the Tana schema
Example Prompts for Tana in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Tana immediately.
"Add a new conceptual outline to my Inbox. The main title should be 'Quarterly Product Strategy', and it should contain three specific child nodes functioning as checkable tasks."
"Create a new node 'Meeting Notes format' structured in our weekly workspace."
"Search my Tana knowledge base for nodes tagged with '#project'."
Troubleshooting Tana MCP Server with Mastra AI
Common issues when connecting Tana to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpTana + Mastra AI FAQ
Common questions about integrating Tana 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 Tana 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 Tana to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.