Can I perform a quick search for a brand name?

Yes! Use the `post_search` action to trigger an immediate query. The tool will return a search hash, which you can then use with `get_mentions` to read the results.

How do I see the influencers for my tracked project?

Simply ask the agent to `get_influencers` and provide the Project ID. It will return the list of top voices mentioning your brand.

Does creating a search consume my account API credits?

Yes, standard API billing applies. You can always use the `get_remaining_credits` tool to check your quota before running large queries.

BrandMentions MCP Server for Google ADK 9 tools — connect in under 2 minutes

Name: BrandMentions
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 9 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add BrandMentions as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="brandmentions_agent",
    instruction=(
        "You help users interact with BrandMentions "
        "using 9 available tools."
    ),
    tools=[mcp_tools],
)

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IAMAccess control

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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.

Google ADK natively supports BrandMentions as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the BrandMentions MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 9 tools from BrandMentions via MCP

Why Use Google ADK with the BrandMentions MCP Server

Google ADK provides unique advantages when paired with BrandMentions through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with BrandMentions

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine BrandMentions tools with BigQuery, Vertex AI, and Cloud Functions

BrandMentions + Google ADK Use Cases

Practical scenarios where Google ADK combined with the BrandMentions MCP Server delivers measurable value.

Enterprise data agents: ADK agents query BrandMentions and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine BrandMentions tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query BrandMentions regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including BrandMentions

BrandMentions MCP Tools for Google ADK (9)

These 9 tools become available when you connect BrandMentions to Google ADK via MCP:

add_project

Create a new project for daily tracking

delete_project

Delete a project

get_influencers

List influencers for a specific project

get_mentions

Get full results for a completed search job

get_processed_mentions

Get partial results for a running search job

get_project_mentions

Retrieve mentions for a specific project

get_remaining_credits

Get current API credits limit/usage

list_projects

List all active campaigns/projects

post_search

Start an on-the-spot search job

Example Prompts for BrandMentions in Google ADK

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

"List all active tracking projects in BrandMentions."

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

"Show me the top influencers for project proj_1."

Troubleshooting BrandMentions MCP Server with Google ADK

Common issues when connecting BrandMentions to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

BrandMentions + Google ADK FAQ

Common questions about integrating BrandMentions MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.