How to Use the BrandMentions MCP in Vercel AI SDK

Q: How does Vercel AI SDK handle long-running BrandMentions search jobs?

Your agent starts a job with postsearch and immediately uses getprocessedmentions to stream partial results. This keeps the Vercel AI SDK connection active and responsive instead of waiting for the full job to finish.

Q: Can I display BrandMentions influencer lists in React using Vercel AI SDK?

Yes. The getinfluencers tool returns structured JSON that Vercel AI SDK streams directly into your React component templates. This allows your UI to render creator profiles dynamically as they are identified.

Q: How do I track my API usage for BrandMentions in a Vercel AI SDK app?

Your agent calls the getremainingcredits tool during the generation cycle to check your current limits. This allows your Vercel AI SDK application to warn users or block requests before calling the MCP Server.

Q: Can I delete active tracking projects directly from the chat interface?

Yes, the deleteproject tool allows your agent to remove unwanted campaigns immediately. The Vercel AI SDK handles the tool call and updates your dashboard state in the same execution loop.

Feed real-time social listening data directly into your React components with the BrandMentions MCP Server and Vercel AI SDK.

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Connect BrandMentions MCP to Vercel AI SDK

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

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Live Search Streaming with Vercel AI SDK

The `post_search` tool lets your React frontend initiate on-the-spot keyword searches that feed directly into Vercel AI SDK streamText. As BrandMentions scans social platforms, the `get_processed_mentions` tool pulls partial results that the Vercel AI SDK renders on screen instantly. This Vercel AI SDK setup eliminates loading spinners entirely for your live BrandMentions feed. Your users see live BrandMentions posts, sentiment markers, and reach metrics populating their React dashboard block by block as the Vercel AI SDK processes the incoming stream.

Manage Campaigns via MCP Server

The `add_project` tool registers new BrandMentions tracking keywords directly from user prompts in your Vercel AI SDK application. Your Vercel AI SDK agent automatically checks your API limits using `get_remaining_credits` before spinning up a new campaign, avoiding failed requests. Once active, the agent uses `list_projects` to keep your Vercel AI SDK interface perfectly synced with your active BrandMentions campaigns. You get a clean, reactive dashboard without writing complex state management boilerplate for your BrandMentions data.

Automated Influencer Discovery

The `get_influencers` tool extracts top-tier creators associated with your tracked keywords and feeds them to your Vercel AI SDK model. The Vercel AI SDK immediately filters and formats these BrandMentions profiles into interactive UI cards for your marketing team. If a BrandMentions campaign becomes irrelevant, the Vercel AI SDK agent calls `delete_project` to clean up your workspace. This keeps your React UI clean and ensures your Vercel AI SDK token budget goes only to active BrandMentions projects.

Setup guide

Set up BrandMentions 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 BrandMentions 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 BrandMentions 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 BrandMentions. 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.

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Common questions about BrandMentions MCP in Vercel AI SDK

Your agent starts a job with `post_search` and immediately uses `get_processed_mentions` to stream partial results. This keeps the Vercel AI SDK connection active and responsive instead of waiting for the full job to finish.

Yes. The `get_influencers` tool returns structured JSON that Vercel AI SDK streams directly into your React component templates. This allows your UI to render creator profiles dynamically as they are identified.

Your agent calls the `get_remaining_credits` tool during the generation cycle to check your current limits. This allows your Vercel AI SDK application to warn users or block requests before calling the MCP Server.

Yes, the `delete_project` tool allows your agent to remove unwanted campaigns immediately. The Vercel AI SDK handles the tool call and updates your dashboard state in the same execution loop.

All tracked keywords, search queries, and influencer profiles stay inside Vinkius's isolated sandbox. Your Vercel AI SDK client connects via a secure, single-token MCP endpoint, meaning your proprietary brand data is never stored outside your immediate session.

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