Todoist MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Complete Task, Create Project, Create Task, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Todoist through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Todoist app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 simplify how you organize your life and work through natural conversation.
The Vercel AI SDK gives every Todoist tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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 Control — Create, update, and complete tasks with full support for due dates, priorities, and descriptions.
- Project Oversight — List all your projects and manage sections to keep your workflows structured.
- Smart Filtering — Query your tasks using Todoist's powerful filter syntax (e.g., 'today', 'p1') via AI.
- Categorization — List and manage labels to tag your tasks across different projects.
- Collaboration — List comments on tasks and projects to track discussions and notes.
- Workspace Maintenance — Reopen completed tasks or fetch detailed metadata for specific to-do items.
The Todoist MCP Server exposes 12 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.
All 12 Todoist tools available for Vercel AI SDK
When Vercel AI SDK connects to Todoist through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-management, to-do-list, workflow-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Mark a task as finished
Create a new project
Add a new to-do item
Get metadata for a project
Get details for a specific task
Can filter by project, label, or filter. List active tasks
List your personal labels
List comments for a task or project
List sections within a project
List your Todoist projects
Mark a closed task as active
Modify an existing task
Connect Todoist to Vercel AI SDK via MCP
Follow these steps to wire Todoist into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
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
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.
"What are my high priority tasks for today?"
"Create a task in the 'Work' project: 'Submit expense report' due Friday at 5pm."
"Show me all active tasks with the label '@errand'."
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.