How to Use the Dovetail MCP in Vercel AI SDK

Stream research data directly into your Vercel AI SDK interface for real-time insight synthesis and note management.

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Connect Dovetail MCP to Vercel AI SDK

Create your Vinkius account to connect Dovetail 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.

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Setup Dovetail with Vercel AI SDK

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Real-time insight streaming with Vercel AI SDK

Feed qualitative research directly into your UI components as they generate. Using `list_insights` and `list_notes` within your edge functions allows your users to watch the analysis populate their dashboard without waiting on slow backend blocking calls. This MCP Server handles the connection while you focus on the React or Next.js rendering. Your interface stays responsive because the tool results stream straight into your streamText calls.

Project data access for AI agents

Query your entire research workspace using `list_projects` to get the context your agent needs. You can pull specific details for any initiative using `get_project_details` to keep your AI client grounded in the right research scope. Stop hardcoding project IDs. Let your agent discover the current research landscape by dynamically grabbing the latest project list from the server.

Automated insight creation in your app

Turn user findings into structured data with `create_insight` and `create_note`. Your Vercel AI SDK workflows can now commit research findings directly to your workspace storage the moment they are discovered. This removes the manual copy-paste step. Your agent acts as a direct bridge between the user conversation and your research repository.

Setup guide

Set up Dovetail 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 Dovetail 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 Dovetail transactions",
});

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

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Why Choose Vinkius

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Real-time monitoring

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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 Dovetail MCP in Vercel AI SDK

Install the necessary packages and use the createMCPClient function to point to your endpoint. It hooks right into your existing agent setup.

Yes, it is fully compatible. The lightweight nature of this MCP Server ensures your edge routes stay fast and responsive.

It supports standard OAuth providers. You pass your credentials through the client configuration to keep your workspace access secure.

The SDK handles the interruption. You should implement basic retry logic in your client code to re-establish the connection.

Your notes and insights remain isolated. We operate under a zero-trust model where only your authenticated client can access the raw research content.

Use it with your favorite AI tools

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

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