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 OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Brandwatch
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Brandwatch through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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 agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Brandwatch Assistant",
            instructions=(
                "You help users interact with Brandwatch. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Brandwatch"
        )
        print(result.final_output)

asyncio.run(main())

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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 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.

The OpenAI Agents SDK auto-discovers all 8 tools from Brandwatch through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Brandwatch, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Brandwatch MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from Brandwatch

Why Use OpenAI Agents SDK with the Brandwatch MCP Server

OpenAI Agents SDK provides unique advantages when paired with Brandwatch through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Brandwatch + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Brandwatch MCP Server delivers measurable value.

Automated workflows: build agents that query Brandwatch, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Brandwatch, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Brandwatch tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Brandwatch to resolve tickets, look up records, and update statuses without human intervention

Brandwatch MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Brandwatch to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Brandwatch to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Brandwatch + OpenAI Agents SDK FAQ

Common questions about integrating Brandwatch MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.