2,500+ MCP servers ready to use
Vinkius

BrandMentions MCP Server for Mastra AI 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect BrandMentions through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

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

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "brandmentions": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "BrandMentions Agent",
    instructions:
      "You help users interact with BrandMentions " +
      "using 9 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with BrandMentions?"
  );
  console.log(result.text);
}

main();
BrandMentions
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About BrandMentions MCP Server

Connect your BrandMentions social listening account to any AI agent and orchestrate your brand monitoring workflows through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and BrandMentions tool infrastructure. Connect 9 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • On-the-Spot Searches — Trigger immediate web and social media searches for specific keywords and retrieve the results instantly.
  • Campaign Management — List all your active tracking projects or create new ones to continuously monitor your brand or competitors.
  • Mention Auditing — Retrieve detailed mentions and sentiment analysis for your ongoing projects.
  • Influencer Discovery — List key influencers associated with your tracked keywords and projects.
  • Credit Tracking — Check your API limits and remaining credits in real-time.

The BrandMentions MCP Server exposes 9 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect BrandMentions to Mastra AI via MCP

Follow these steps to integrate the BrandMentions MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 9 tools from BrandMentions via MCP

Why Use Mastra AI with the BrandMentions MCP Server

Mastra AI provides unique advantages when paired with BrandMentions through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add BrandMentions without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every BrandMentions tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

BrandMentions + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the BrandMentions MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query BrandMentions, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed BrandMentions as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query BrandMentions on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using BrandMentions tools alongside other MCP servers

BrandMentions MCP Tools for Mastra AI (9)

These 9 tools become available when you connect BrandMentions to Mastra AI via MCP:

01

add_project

Create a new project for daily tracking

02

delete_project

Delete a project

03

get_influencers

List influencers for a specific project

04

get_mentions

Get full results for a completed search job

05

get_processed_mentions

Get partial results for a running search job

06

get_project_mentions

Retrieve mentions for a specific project

07

get_remaining_credits

Get current API credits limit/usage

08

list_projects

List all active campaigns/projects

09

post_search

Start an on-the-spot search job

Example Prompts for BrandMentions in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with BrandMentions immediately.

01

"List all active tracking projects in BrandMentions."

02

"Start a quick search for the keyword 'Vinkius'."

03

"Show me the top influencers for project proj_1."

Troubleshooting BrandMentions MCP Server with Mastra AI

Common issues when connecting BrandMentions to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

BrandMentions + Mastra AI FAQ

Common questions about integrating BrandMentions MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect BrandMentions to Mastra AI

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.