How to Use the BrandMentions MCP in Mastra AI

Q: Can I build conditional workflows in Mastra AI based on BrandMentions influencer data?

Yes. You can configure Mastra AI to run getinfluencers and branch your workflow based on the creator's reach, automatically routing high-impact profiles to your sales team.

Q: Can I run on-the-spot searches within a Mastra AI workflow?

Yes, the postsearch tool allows your Mastra AI agent to kick off immediate keyword scans. The workflow can then poll getprocessedmentions to process partial results as they appear.

Build automated brand monitoring workflows in Mastra AI using the BrandMentions MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect BrandMentions MCP to Mastra AI

Create your Vinkius account to connect BrandMentions to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup BrandMentions with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-Step Monitoring with Mastra AI

The `get_project_mentions` tool retrieves active social conversations and feeds them directly into your Mastra AI workflow steps. If your Mastra AI workflow detects a sudden spike in negative sentiment from BrandMentions, it triggers conditional branches to alert your team. Mastra AI manages this entire brand monitoring logic loop natively. If the BrandMentions API rate limit is reached during a run, Mastra AI uses its built-in exponential backoff to retry the tool call without failing.

Automated Budget Guardrails via MCP Server

The `get_remaining_credits` tool checks your current BrandMentions API usage before Mastra AI executes heavy search operations. Your Mastra AI agent evaluates this BrandMentions credit balance as a strict gatekeeper step before running any new keyword queries. If BrandMentions credits fall below your specified threshold, your Mastra AI workflow branches to notify your administrator instead of calling `post_search`. This prevents broken Mastra AI workflows and unexpected BrandMentions billing overages on your deployments.

Direct Campaign Lifecycle Execution

The `add_project` tool initializes new tracking campaigns automatically whenever your Mastra AI agent identifies a new competitor or product launch. Your Mastra AI agent can immediately list all active campaigns with `list_projects` to verify successful BrandMentions setup. For short-term monitoring, your Mastra AI workflow executes `delete_project` once the specified BrandMentions tracking window closes. This keeps your BrandMentions MCP workspace clean and focused solely on active Mastra AI marketing campaigns.

Setup guide

Set up BrandMentions MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All BrandMentions tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "brandmentions-mcp-client",
  servers: {
    "brandmentions-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "BrandMentions Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to BrandMentions tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent BrandMentions transactions"
);
console.log(result.text);

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect BrandMentions now

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 BrandMentions MCP in Mastra AI

Mastra AI uses its native retry engine with exponential backoff if the BrandMentions API returns a rate limit error. This ensures your automated workflows do not crash during heavy social listening spikes.

Yes. You can configure Mastra AI to run `get_influencers` and branch your workflow based on the creator's reach, automatically routing high-impact profiles to your sales team.

You can deploy your Mastra AI agent to any cloud provider with a single command. The agent connects to the BrandMentions MCP Server via Vinkius using a secure HTTP or SSE transport protocol.

Yes, the `post_search` tool allows your Mastra AI agent to kick off immediate keyword scans. The workflow can then poll `get_processed_mentions` to process partial results as they appear.

When using the BrandMentions MCP Server, your target keywords and influencer lists are transmitted over SSL directly to Vinkius's zero-trust sandboxed environment. No data is cached or stored permanently on the Vinkius platform, maintaining absolute data privacy.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript