How to Use the Brandwatch MCP in CrewAI

Q: Can I limit which Brandwatch tools my CrewAI agents use?

Yes. You use the toolfilter parameter in your CrewAI agent definition. This ensures your agents only access the specific operations you permit.

Deploy specialized Brandwatch research crews with CrewAI to automate social monitoring and reporting.

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Connect Brandwatch MCP to CrewAI

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

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Setup Brandwatch with CrewAI

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Perplexity

CrewAI multi-agent project research

Assign a research agent to use `list_projects` and `get_project` while a separate analyst agent digs into the details. Your crew works in parallel to map out the research landscape. This specialization keeps your agents focused. One agent handles the discovery while the other processes the specific findings from your Brandwatch account.

Automated mention analysis for CrewAI

Your agents use `get_mentions` to collect data and `get_volume_aggregates` to spot trends. A monitor agent identifies spikes while a reporter agent writes the summary. This structure removes the need for you to manually fetch data. The agents handle the coordination, ensuring the right data reaches the right agent at the right time.

Scaling Brandwatch operations with CrewAI

Use `list_tags` and `create_tag` to let your agents manage your organization system. A moderator agent can apply tags to mentions based on sentiment analysis performed by another agent. Your agents maintain your taxonomy without you touching the platform. They communicate through shared memory to ensure tags remain consistent across all projects.

Setup guide

Set up Brandwatch MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Brandwatch tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Brandwatch Analyst",
    goal="Access and analyze Brandwatch data via MCP.",
    backstory="Expert analyst with direct Brandwatch access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Brandwatch transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Brandwatch Analyst",
        goal="Access and analyze Brandwatch data via MCP.",
        backstory="Expert analyst with direct Brandwatch access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Brandwatch transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 Brandwatch. 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.

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Common questions about Brandwatch MCP in CrewAI

Yes. You use the tool_filter parameter in your CrewAI agent definition. This ensures your agents only access the specific operations you permit.

Agents share data through the built-in CrewAI memory component. Once one agent retrieves mention data, the others can access that context to perform their tasks.

It is. You can assign the MCP server to a manager agent that delegates specific Brandwatch tasks to subordinates based on the current workload.

Yes. If you use the Streamable HTTP transport, your agents receive the tool output as it happens, allowing for faster multi-agent decision making.

Your raw mention data is isolated within a per-request sandbox. We enforce strict data boundaries, ensuring no other agents or processes can access your research logs.

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