How to Use the Keepcon MCP in Vercel AI SDK

Q: How do I connect Vercel AI SDK to Keepcon?

Install @ai-sdk/mcp. Initialize it with createMCPClient using your HTTP transport URL, then pass the exposed tools into streamText.

Q: How do I handle Keepcon API authentication in my Next.js app?

Pass your credentials through the authProvider block when creating the client. The MCP Server handles token exchange before executing any tools.

Stream live moderation decisions straight to your Next.js frontend using the Keepcon Vercel AI SDK integration.

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Connect Keepcon MCP to Vercel AI SDK

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

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Build live moderation feeds with the Keepcon MCP Server.

The `moderate_content` tool evaluates user submissions instantly. When a user submits a post, your agent evaluates it via the Keepcon MCP Server and streams the approval or rejection decision directly to the frontend. You don't need loading spinners. The client streams the tags and decisions into your React components as they arrive from the semantic engine.

Batch process backlogs in the background.

The `import_batch` tool accepts massive content lists and returns an import ID for asynchronous processing. Your Edge Function triggers the job through the MCP connection and moves on without blocking the main thread. Once the engine finishes, your app calls `export_results` to pull the decisions. You then run `acknowledge_results` to confirm receipt and clear the queue.

Investigate user profiles instantly.

The `get_profile_by_social_id` tool links network-specific identifiers from Twitter or Facebook to internal Keepcon IDs. Your support dashboard pulls the user's history and displays it next to their active ticket. Support teams use `search_profiles` to filter down bad actors. If the engine makes a mistake, your custom interface triggers `submit_feedback` to correct the false positive and train the system.

Setup guide

Set up Keepcon 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 Keepcon 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 Keepcon 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 Keepcon. 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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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.

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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

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Common questions about Keepcon MCP in Vercel AI SDK

Install `@ai-sdk/mcp`. Initialize it with `createMCPClient` using your HTTP transport URL, then pass the exposed tools into `streamText`.

Yes. The SDK streams the output of the moderation tools directly to your UI. Users see the semantic tags appear in real-time.

Pass your credentials through the `authProvider` block when creating the client. The MCP Server handles token exchange before executing any tools.

The tool throws a standard error. Your frontend catches this and displays a retry button without breaking the active session.

The server processes social network IDs and text submissions. Vinkius runs the connection inside an ephemeral V8 Isolate Sandbox, destroying the environment immediately after the request finishes.

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