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How to Use the Openli MCP in Vercel AI SDK

Stream legal agreements and cookie consent status directly into your React or Next.js app using Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

Openli MCP on Cursor AI Code Editor MCP Client Openli MCP on Claude Desktop App MCP Integration Openli MCP on OpenAI Agents SDK MCP Compatible Openli MCP on Visual Studio Code MCP Extension Client Openli MCP on GitHub Copilot AI Agent MCP Integration Openli MCP on Google Gemini AI MCP Integration Openli MCP on Lovable AI Development MCP Client Openli MCP on Mistral AI Agents MCP Compatible Openli MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect Openli MCP to Vercel AI SDK

Create your Vinkius account to connect Openli to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Stream legal documents to the UI

The `create_agreement` tool lets your agent generate privacy policies and terms of service while the user watches. Instead of waiting behind a loading spinner, your Vercel AI SDK client streams the text directly into your Next.js frontend. You can immediately follow up with `get_agreement` or `list_agreements` to fetch historical document versions. This keeps your compliance dashboard perfectly synced without requiring manual page reloads.

Handle live consent tracking

Use `save_consent` to capture a user's cookie preferences the millisecond they click your banner. The Vercel AI SDK pushes this confirmation straight to the UI, giving the user immediate visual feedback. Your agent can then run `get_consent` or `list_consents` to render an interactive privacy preferences page. Users see exactly what they agreed to, updating in real-time.

Automate DSAR flows via MCP Server

When a user requests their data, the `create_dsar` tool logs the Data Subject Access Request instantly. Your AI client confirms the submission on-screen while triggering the backend process. Support teams can use `list_dsars` and `get_dsar` to build a live queue of pending privacy requests. You get a fully functional compliance interface powered by a single MCP connection.

Setup guide

Set up Openli 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 Openli transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Openli. 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.

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 Openli MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package and define your transport layer. Call `createMCPClient({ transport: { type: "http", url: "..." } })` to establish the connection.
Yes. Pass the tools from `mcpClient.tools()` into your `streamText` function. The generated privacy policy will render chunk-by-chunk in your React frontend.
It handles authentication natively through the Vercel AI SDK configuration. You just pass your credentials into the `authProvider` block during setup.
Run the `check_openli_status` tool before executing complex workflows. If the connection fails, your app can display a fallback UI instead of breaking.
Data Subject Access Requests contain highly sensitive personally identifiable information. Vinkius isolates this traffic inside ephemeral V8 sandboxes, meaning your users' privacy requests never touch persistent storage outside the immediate request lifecycle.

Start using the Openli MCP today

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Built & Managed by Vinkius 30s setup 13 tools

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