Tana MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Tana through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Tana, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Tana tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Tana MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Tana and passes them to the LLM
Why Use Vercel AI SDK with the Tana MCP Server
Vercel AI SDK provides unique advantages when paired with Tana through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Tana integration everywhere
Built-in streaming UI primitives let you display Tana tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Tana + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Tana MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Tana in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Tana tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Tana capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Tana through natural language queries
Tana MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Tana to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Tana to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTana + Vercel AI SDK FAQ
Common questions about integrating Tana MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.