How to Use the Dashly MCP in Vercel AI SDK

Q: How do I fetch Dashly records using Vercel AI SDK?

Use the generateText function to invoke the server tools. Pass your endpoint URL to the transport layer and call the specific tool by name. You'll see the JSON output inside your response stream immediately.

Q: Can I update user properties in Dashly through Vercel AI SDK?

You can absolutely use setuserprops to push changes to Dashly. Just map your form inputs to the tool arguments. The server handles the write request and confirms the update instantly.

Stream live Dashly data directly into your Vercel AI SDK frontends for real-time customer interaction updates.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Dashly MCP to Vercel AI SDK

Create your Vinkius account to connect Dashly to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Dashly with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live Dashly data in Vercel AI SDK

Feed your UI with live conversation data by calling `get_conversation` and `list_conversations` inside your Edge Functions. The result flows straight into your React components without waiting for backend bottlenecks. Your users watch the AI pull specific user records via `get_user_details` as they browse. It turns static dashboards into active, responsive interfaces that react to incoming messages.

Automated engagement via AI SDK

Trigger `send_reply` or `set_user_props` directly from your server-side logic when the AI decides a user needs attention. You control the exact moment a message hits the user's inbox. Keep track of user behavior by firing `track_event` through your streaming pipeline. It logs activity the moment it happens, letting your frontend stay in perfect sync with Dashly.

Channel management for AI SDK

Query `list_channels` to show your users exactly where they can reach your team. It filters the noise and shows only the relevant communication lines in your application. Pulling this list into your SDK setup ensures your interface never shows dead channels. It keeps the connection between your product and Dashly clean and functional.

Setup guide

Set up Dashly MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Dashly tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Dashly transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dashly. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Dashly now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Dashly MCP in Vercel AI SDK

Use the `generateText` function to invoke the server tools. Pass your endpoint URL to the transport layer and call the specific tool by name. You'll see the JSON output inside your response stream immediately.

Yes, it runs on the edge without issue. Since it uses standard HTTP transports, you don't need heavy node runtimes. It stays fast and lightweight for your users.

You can absolutely use `set_user_props` to push changes to Dashly. Just map your form inputs to the tool arguments. The server handles the write request and confirms the update instantly.

We handle auth via a single endpoint token that you manage in your environment variables. The MCP Server keeps your sensitive data isolated from the client-side code.

The server only reads and writes conversation histories and user profile properties. We don't store your data; we just move it between your app and the Dashly API.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript