How to Use the Cody AI MCP in Vercel AI SDK

Stream Cody AI knowledge base data directly into your Vercel AI SDK frontends for real-time UI updates.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Cody AI MCP to Vercel AI SDK

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

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Live Knowledge Base Syncing

Feed your application document status updates instantly. You will trigger `get_document_status` to show users exactly when their uploaded files are ready for querying. This keeps your interface snappy. Use `import_webpage` to pull external content into your knowledge base without forcing users to leave your Vercel AI SDK app.

Conversation Control in Vercel AI SDK

Manage your AI interactions programmatically. Your code uses `create_conversation` to spin up new sessions and `send_message` to push prompts through the pipeline. Everything happens in the background. Your frontend handles the response stream while the MCP Server manages the underlying conversation state.

Bot Metadata Management

Expose bot configurations to your users with `list_bots`. Display specific bot capabilities by calling `get_bot_details` inside your React or Next.js components. Your UI stays clean and informative. Users browse available assistants and select them without ever opening the dashboard.

Setup guide

Set up Cody AI 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 Cody AI 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 Cody AI 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 Cody AI. 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 Cody AI 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 Cody AI MCP in Vercel AI SDK

Yes. You hook the server into your project, then call document tools to check status or import URLs directly from your browser-based interface.

State lives on the server side. You use the conversation tools to track history and fetch messages, keeping your client-side code lightweight.

It works perfectly. Since the server provides standard tool outputs, you pipe the results into your stream handlers for immediate display.

Vinkius handles the heavy lifting. You just need your endpoint token to authenticate the connection between your app and the server.

The server only touches your bot metadata, document status, and message history. This data remains locked behind your specific endpoint token and never leaves your secure Vinkius sandbox.

Use it with your favorite AI tools

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

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