How to Use the Apidog MCP in Vercel AI SDK

Pull Apidog documentation directly into your Vercel AI SDK projects to render live API schemas for your users.

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Connect Apidog MCP to Vercel AI SDK

Create your Vinkius account to connect Apidog 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 Apidog with Vercel AI SDK

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Stream API definitions into Vercel AI SDK

Your TypeScript code calls `get_endpoint` to pull raw schema details straight into your React components. The data arrives as a JSON object ready for immediate rendering. Stop waiting for manual documentation updates. This MCP Server pipes your Apidog project structure into your Edge Functions so your UI stays synced with your backend reality.

Manage your Apidog project inventory

Run `list_projects` to see what is currently active in your organization. You get an array of project IDs and metadata that your agent can filter through in milliseconds. Building a dashboard for your developers? This tool lets you query the exact project list on demand. Your frontend displays what you actually have, not what you think you have.

Export schemas for local validation

Trigger `export_openapi` to grab a full spec file. You can then parse this blob to build custom type generators inside your build pipeline. It handles the heavy lifting of converting your Apidog workspace into a standard format. Your build script pulls the latest spec before compiling your static site.

Setup guide

Set up Apidog 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 Apidog 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 Apidog 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 Apidog. 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.

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Common questions about Apidog MCP in Vercel AI SDK

You initialize the client using the Vercel-specific transport configuration. Point your agent to the Vinkius endpoint, and it will handle the authentication handshake automatically.

Yes. Since the tools return raw data, you can pass the output directly into your streamText calls. The user sees the API details populate in their chat window as the agent finds them.

Absolutely. You fetch the endpoint definition during the action execution. It works perfectly within the Node.js runtime environment common to your framework.

The server respects your Vinkius connection token. It only accesses projects that your account is authorized to view.

Your API endpoint schemas and project lists are passed through an ephemeral, isolated sandbox. We don't store your documentation or project definitions on our disks.

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