Habitify 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 Habitify 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 Habitify, 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 Habitify MCP Server
Connect your Habitify account to any AI agent and take full control of your personal growth and habit-tracking workflows through natural conversation.
The Vercel AI SDK gives every Habitify 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
- Habit Oversight — List all habits you are tracking and retrieve detailed information for each.
- Journal Monitoring — Get a daily overview of your completion status and progress for any specific date.
- Log Management — Record progress for your habits (reps, minutes, etc.) and view history logs efficiently.
- Statistical Insights — Retrieve performance statistics for any habit within a custom date range.
- Personalized Growth — Create new habits or update existing ones directly from your chat or IDE.
- Area Categorization — Organize and browse your habits by areas of focus like Health, Work, or Mindset.
The Habitify 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 Habitify to Vercel AI SDK via MCP
Follow these steps to integrate the Habitify 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 Habitify and passes them to the LLM
Why Use Vercel AI SDK with the Habitify MCP Server
Vercel AI SDK provides unique advantages when paired with Habitify 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 Habitify integration everywhere
Built-in streaming UI primitives let you display Habitify 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
Habitify + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Habitify MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Habitify in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Habitify tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Habitify capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Habitify through natural language queries
Habitify MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Habitify to Vercel AI SDK via MCP:
add_habit_log
g., number of reps, minutes, or completion) to a habit. Record progress for a specific habit
create_habit
Create a new habit to track
delete_habit
Permanently delete a habit
get_habit
Get detailed information about a specific habit
get_habit_stats
Get statistics for a habit within a date range
get_journal
Get habits with completion status for a specific date
list_areas
List all habit areas (categories)
list_habit_logs
List all logs for a specific habit
list_habits
List all habits in your Habitify account
update_habit
Update an existing habit details
Example Prompts for Habitify in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Habitify immediately.
"What habits do I need to complete today?"
"Log 30 minutes of reading for today."
"Show me my stats for 'Morning Meditation' from last week."
Troubleshooting Habitify MCP Server with Vercel AI SDK
Common issues when connecting Habitify to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpHabitify + Vercel AI SDK FAQ
Common questions about integrating Habitify 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 Habitify 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 Habitify to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.