How to Use the BrandMentions MCP in AutoGen

Let your AutoGen agents debate marketing strategy using live data from BrandMentions.

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Connect BrandMentions MCP to AutoGen

Create your Vinkius account to connect BrandMentions to AutoGen 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 BrandMentions with AutoGen

Ask AI about this MCP

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Perplexity

Debate market trends in AutoGen

One agent calls `get_mentions` while another analyzes the sentiment. They debate the findings until they reach a consensus on your brand's standing. This turns simple data retrieval into a collaborative process. The agents challenge each other's interpretations of the search results.

Coordinate projects with AutoGen

Assign an agent to monitor `list_projects` and report back to the group. If a project is missing, another agent can use `add_project` to fix it. It automates your oversight. You watch the agents negotiate the best way to handle your campaign tracking.

Verify search results with AutoGen

Use `get_remaining_credits` as a gatekeeper agent. It checks your balance before allowing other agents to proceed with `post_search` tasks. This prevents overspending. The agents verify their own operational constraints before taking actions that consume your credits.

Setup guide

Set up BrandMentions MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes BrandMentions tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="BrandMentions_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent BrandMentions data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="BrandMentions_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent BrandMentions data")
    print(result.messages[-1].content)

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 BrandMentions. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect BrandMentions now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about BrandMentions MCP in AutoGen

They absolutely can. By sharing the tools, your agents can pull data, critique the findings, and agree on a final marketing report.

The adapter converts the tool schema so your agents understand them. They then call the functions naturally during their conversation flow.

It gives your team a shared source of truth. One agent retrieves the mention data, and the rest of the group interprets it.

The agents debate the necessity of each call. If one agent wants to delete a project, another can challenge that move before it happens.

The Vinkius sandbox ensures that only your authorized agents access the server. The data is ephemeral and cleared once the agent conversation ends.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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