Lunatask MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Lunatask 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 Lunatask, 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 Lunatask MCP Server
Connect your Lunatask account to any AI agent to streamline your privacy-focused productivity. This MCP server enables your agent to create, update, and manage tasks, track habits, and log journal entries directly from natural language interfaces.
The Vercel AI SDK gives every Lunatask tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Task Creation — Add new tasks to specific Areas of Life with statuses like 'next' or 'later'
- Habit Tracking — Log completions for your daily habits to stay consistent with your goals
- Encrypted Journaling — Create secure, end-to-end encrypted journal entries directly from your conversation
- Metadata Inspection — List all tasks and notes to monitor your productivity structure and statuses
- Workflow Management — Update task priorities and move them through your personal workflow stages
Important Note on Privacy
Lunatask uses end-to-end encryption. While this API allows creating and updating content, it cannot read back the names or notes of your tasks once they are stored. The agent will only see technical metadata (IDs, dates, statuses).
The Lunatask MCP Server exposes 8 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 Lunatask to Vercel AI SDK via MCP
Follow these steps to integrate the Lunatask 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 8 tools from Lunatask and passes them to the LLM
Why Use Vercel AI SDK with the Lunatask MCP Server
Vercel AI SDK provides unique advantages when paired with Lunatask 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 Lunatask integration everywhere
Built-in streaming UI primitives let you display Lunatask 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
Lunatask + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Lunatask MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Lunatask in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Lunatask tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Lunatask capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Lunatask through natural language queries
Lunatask MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Lunatask to Vercel AI SDK via MCP:
create_journal_entry
Add a new journal entry
create_new_task
Requires a name and an area_id. Create a new task
delete_task
Delete a task
get_task_metadata
Get metadata for a specific task
list_notes_metadata
List metadata for all notes
list_tasks_metadata
Note: Due to encryption, names and notes are not available via API. List metadata for all tasks
track_habit_completion
Log a completion for a habit
update_existing_task
Update an existing task
Example Prompts for Lunatask in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Lunatask immediately.
"List metadata for all my tasks in Lunatask."
"Track a completion for habit ID 'habit-123'."
"Create a new task named 'Review quarterly report' in area 'area-abc'."
Troubleshooting Lunatask MCP Server with Vercel AI SDK
Common issues when connecting Lunatask to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLunatask + Vercel AI SDK FAQ
Common questions about integrating Lunatask 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 Lunatask 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 Lunatask to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.