Todoist MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Todoist through the 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 Todoist, 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 Todoist MCP Server
Connect your Todoist account to any AI agent and bring your daily productivity directly into your chat. View your active tasks, manage projects, and quickly add new items to your workflow entirely through conversational commands without ever needing to open the app.
The Vercel AI SDK gives every Todoist tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through the 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
- Project Management — List all your active project folders, retrieve their specific IDs, and view sections within specific projects
- Task Execution — View your complete list of pending tasks and mark them as completed instantly
- Create Tasks — Add new items to a specific project or your inbox naturally in plain conversation
- Organization — Look up available labels/tags to categorize your work
- Collaboration — Read through existing comments to catch up on discussion history for any particular task
The Todoist MCP Server exposes 7 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 Todoist to Vercel AI SDK via MCP
Follow these steps to integrate the Todoist 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 7 tools from Todoist and passes them to the LLM
Why Use Vercel AI SDK with the Todoist MCP Server
Vercel AI SDK provides unique advantages when paired with Todoist 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 Todoist integration everywhere
Built-in streaming UI primitives let you display Todoist 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
Todoist + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Todoist MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Todoist in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Todoist tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Todoist capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Todoist through natural language queries
Todoist MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Todoist to Vercel AI SDK via MCP:
complete_task
Marks a task as completed
create_task
Provide content and an optional project ID. Creates a new task in Todoist
list_comments
Lists all comments for a specific task
list_labels
Lists all user-defined labels
list_projects
Lists all active projects in Todoist
list_sections
Lists all sections within a specific project
list_tasks
Can filter by project_id. Lists active tasks, optionally filtered by project
Example Prompts for Todoist in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Todoist immediately.
"Check all my active tasks and projects."
"Complete the task with ID 81229."
Troubleshooting Todoist MCP Server with Vercel AI SDK
Common issues when connecting Todoist to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTodoist + Vercel AI SDK FAQ
Common questions about integrating Todoist 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 Todoist 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 Todoist to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.