How to Use the Clari MCP in Vercel AI SDK

Q: How do I handle Clari authentication in my Vercel AI SDK app?

You pass your Vinkius credentials through the authProvider in the MCP client setup. This keeps your API keys hidden from the client side while letting your edge functions query Clari safely.

Q: Can I stream Clari forecast updates using Vercel AI SDK?

Yes, you use streamText alongside this MCP Server to pipe the output of listclariforecasts directly to your page. The UI updates instantly as Clari returns the revenue records.

Q: Does the Vercel AI SDK support real-time Clari opportunity filtering?

Yes. Your application feeds the user's prompt into listrevenueopportunities and filters the live CRM results on the fly before rendering them.

Q: How do I close the MCP connection in serverless functions?

Always call mcpClient.close() inside your API route or Server Action once the stream finishes. This prevents connection leaks in your Vercel deployment.

Render live Clari revenue forecasts directly into your Next.js frontend with the Vercel AI SDK.

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Connect Clari MCP to Vercel AI SDK

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

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Stream Clari Revenue Opportunities Live

`list_revenue_opportunities` pulls active deals straight into your React UI without waiting for a full page reload. Your Vercel AI SDK setup streams these CRM records chunk by chunk, so users watch their sales pipeline populate in real-time. We use React Server Components to render the data the millisecond it arrives. Because this MCP Server runs on Vinkius, your Next.js edge functions stay fast and light.

Build Interactive Clari Forecasts with Vercel AI SDK

`list_clari_forecasts` grabs manual submissions and historical data to feed your dynamic UI charts. The Vercel AI SDK pipes this historical revenue data directly into your frontend components as a clean stream. No more boring loading spinners while waiting for heavy sales reports. You get immediate visual updates by combining this MCP tool client with your local UI state.

Render Live Sales Audit Trails

`list_clari_audit_logs` exposes platform events and changes to your user-facing admin dashboards. By connecting this MCP Server to your UI stream, security teams see pipeline updates as they happen. The SDK handles the raw JSON stream and formats it into clean, readable feed items. You keep your users updated on critical CRM modifications without polling APIs.

Setup guide

Set up Clari 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 Clari 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 Clari 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 Clari. 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

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Common questions about Clari MCP in Vercel AI SDK

You pass your Vinkius credentials through the `authProvider` in the MCP client setup. This keeps your API keys hidden from the client side while letting your edge functions query Clari safely.

Yes, you use `streamText` alongside this MCP Server to pipe the output of `list_clari_forecasts` directly to your page. The UI updates instantly as Clari returns the revenue records.

Yes. Your application feeds the user's prompt into `list_revenue_opportunities` and filters the live CRM results on the fly before rendering them.

Always call `mcpClient.close()` inside your API route or Server Action once the stream finishes. This prevents connection leaks in your Vercel deployment.

Vinkius runs the server in an isolated V8 sandbox that never persists your CRM data. Your revenue opportunities and audit logs are only memory-buffered during the active streaming session.

Use it with your favorite AI tools

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