Sunsama 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 Sunsama 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 Sunsama, 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 Sunsama MCP Server
Integrate the mindful focus of the Sunsama daily planner directly into your conversational AI environment. Empower your engineering or administrative focus by allowing your LLM to intuitively pull tasks, filter backlog activities, and assign contexts dynamically without constant tab-switching. With this MCP connector attached securely to your workspace, your conversational agent functions as an objective scheduling assistant, seamlessly tracking and resolving your agenda.
The Vercel AI SDK gives every Sunsama 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
- Agenda Discovery — Query your scheduled events actively using
list_tasksand retrieve deep contextual dependencies of an item utilizingget_task_details. - Task Orchestration — Add new action items seamlessly via
create_taskor modify ongoing assignments intuitively usingupdate_task. - Taxonomy Mapping — Review your organizational frameworks executing
list_channelsandlist_contextsto accurately file items according to team domains. - Profile Confirmations — Safely extract your user metadata boundaries and operational statuses natively invoking
get_user_profile.
The Sunsama 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 Sunsama to Vercel AI SDK via MCP
Follow these steps to integrate the Sunsama 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 Sunsama and passes them to the LLM
Why Use Vercel AI SDK with the Sunsama MCP Server
Vercel AI SDK provides unique advantages when paired with Sunsama 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 Sunsama integration everywhere
Built-in streaming UI primitives let you display Sunsama 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
Sunsama + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Sunsama MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Sunsama in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Sunsama tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Sunsama capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Sunsama through natural language queries
Sunsama MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Sunsama to Vercel AI SDK via MCP:
create_task
Provide text and an optional planned date. Creates a new task in Sunsama
delete_task
This action is irreversible. Permanently deletes a task
get_task_details
Retrieves details for a specific task
get_user_profile
Retrieves the current user profile
list_channels
g., "Work", "Personal"). Lists available Sunsama channels
list_contexts
Lists available Sunsama contexts
list_tasks
You can filter by date. Lists all tasks in Sunsama
update_task
Updates an existing task
Example Prompts for Sunsama in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Sunsama immediately.
"List my tasks for today, complete the design review, and schedule a documentation update for next Monday."
"Read my custom organizational domains running `list_channels` securely, and pull contextual details applying `list_contexts` effectively."
"Verify my identity token evaluating the API user profile comprehensively."
Troubleshooting Sunsama MCP Server with Vercel AI SDK
Common issues when connecting Sunsama to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSunsama + Vercel AI SDK FAQ
Common questions about integrating Sunsama 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 Sunsama 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 Sunsama to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.