Can I retrieve social mentions for a specific date range?

Yes! Use the `get_mentions` tool with the Project ID, Query ID, and your ISO 8601 formatted start and end dates (e.g., 2024-01-01T00:00:00.000Z).

How do I see the volume trend of a query over time?

Simply ask the agent to `get_volume_aggregates` and provide the relevant IDs and date range. It will return the aggregated data points showing mention spikes.

Does the integration allow creating new boolean queries?

Currently, the toolset is focused on reading and retrieving data from existing setups. Creating complex boolean queries should be done via the Brandwatch web interface to utilize their query builder and syntax validation.

Brandwatch MCP Server for AutoGen 8 tools — connect in under 2 minutes

Name: Brandwatch
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Brandwatch as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="brandwatch_agent",
            tools=tools,
            system_message=(
                "You help users with Brandwatch. "
                "8 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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 Brandwatch MCP Server

Connect your Brandwatch Consumer Research account to any AI agent and orchestrate your social listening and data analysis workflows through natural conversation.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Brandwatch tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

Project & Dashboard Navigation — List and retrieve detailed metadata for all your active research projects and dashboards.
Query Management — Access your configured search queries to monitor brand health and industry trends.
Mention Retrieval — Query and inspect raw social mentions based on specific queries and date ranges.
Data Aggregation — Retrieve volume aggregates to analyze mention trends and spikes over time.
Tag Coordination — List and create categorization tags to organize your social data effectively.

The Brandwatch MCP Server exposes 8 tools through the Vinkius. Connect it to AutoGen 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 Brandwatch to AutoGen via MCP

Follow these steps to integrate the Brandwatch MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 8 tools from Brandwatch automatically

Why Use AutoGen with the Brandwatch MCP Server

AutoGen provides unique advantages when paired with Brandwatch through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Brandwatch tools to solve complex tasks

Role-based architecture lets you assign Brandwatch tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Brandwatch tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Brandwatch tool responses in an isolated environment

Brandwatch + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Brandwatch MCP Server delivers measurable value.

Collaborative analysis: one agent queries Brandwatch while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Brandwatch, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Brandwatch data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Brandwatch responses in a sandboxed execution environment

Brandwatch MCP Tools for AutoGen (8)

These 8 tools become available when you connect Brandwatch to AutoGen via MCP:

create_tag

Create a new tag for categorizing mentions

get_mentions

Retrieve mentions for a specific query

get_project

Get details of a specific project

get_volume_aggregates

Get mention volume aggregates for a query

list_dashboards

List dashboards in a project

list_projects

List all active projects

list_queries

List configured queries in a project

list_tags

List tags available in a project

Example Prompts for Brandwatch in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Brandwatch immediately.

"List all queries configured in project proj_1."

"Get volume aggregates for query q_1 from Jan 1st to Jan 31st."

"Create a new tag called 'Urgent Review' in project proj_1."

Troubleshooting Brandwatch MCP Server with AutoGen

Common issues when connecting Brandwatch to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Brandwatch + AutoGen FAQ

Common questions about integrating Brandwatch MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Brandwatch tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.