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Vinkius runs on Vercel AI SDK

How to Use the R2R MCP in Vercel AI SDK

Connect the Vercel AI SDK to your R2R engine. Stream document retrieval and RAG results directly into your React or Next.js interface.

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Works with every AI agent you already use

…and any MCP-compatible client

R2R MCP on Cursor AI Code Editor MCP Client R2R MCP on Claude Desktop App MCP Integration R2R MCP on OpenAI Agents SDK MCP Compatible R2R MCP on Visual Studio Code MCP Extension Client R2R MCP on GitHub Copilot AI Agent MCP Integration R2R MCP on Google Gemini AI MCP Integration R2R MCP on Lovable AI Development MCP Client R2R MCP on Mistral AI Agents MCP Compatible R2R MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect R2R MCP to Vercel AI SDK

Create your Vinkius account to connect R2R 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

Real-time RAG streaming in AI SDK

Feed your front-end components live data using `rag_query`. Your users stop watching spinners and start seeing citations appear as the AI generates them. Connect the MCP Server to your Edge functions to keep latency low. You get precise answers without waiting for the full document context to load.

Manage vector data via AI SDK tools

Call `list_documents` or `get_document` to inspect your knowledge base state in real time. You can build UI dashboards that show exactly what the AI sees when it answers a question. This gives your application direct visibility into the R2R ingestion pipeline. No more guessing what data is available for your agent to process.

Verify connectivity with R2R MCP Server

Ping your backend using `get_health` before your app starts a generation cycle. This prevents runtime errors by checking the state of your vector store before dispatching user queries. Use this tool to gate your AI responses. If the R2R MCP Server isn't ready, your UI handles the state gracefully instead of failing mid-stream.

Setup guide

Set up R2R 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 R2R 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 R2R 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 R2R. 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 R2R MCP in Vercel AI SDK

You instantiate the MCP client and pass the `search` tool into your `streamText` call. Your agent then triggers the search automatically when the user asks a relevant question.
Yes. Your documents stay within your infrastructure. The R2R MCP Server only transmits the specific text chunks requested by your agent during a query.
You use `list_collections` to retrieve all available namespaces. This allows your app to filter which data the user can access during a specific session.
The MCP protocol returns a standard error object. You catch this in your Vercel AI SDK flow and display a fallback message to the user.
It is. Since it uses standard HTTP transports, you can connect your Vercel edge-deployed code to your remote R2R instance without issues.

Start using the R2R MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 6 tools

We've already built the connector for R2R. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 6 tools are live and waiting. You're up and running in seconds.

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