How to Use the DataForSEO MCP in AutoGen
Enable your AutoGen agent teams to debate and act on live marketing data from DataForSEO.
Works with every AI agent you already use
…and any MCP-compatible client
Connect DataForSEO MCP to AutoGen
Create your Vinkius account to connect DataForSEO 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.
Fuel Agent Debates with Data
AutoGen is about conversations between agents. With these tools, those conversations are grounded in facts. One agent can use `google_organic` to propose a strategy, and another can use `bing_organic` to challenge it with different data. This isn't just one agent executing a plan. It's a team arriving at a better decision. Your "SEO-Strategist" agent's plan gets cross-checked by a "Risk-Analyst" agent that looks at data from other search engines like `yahoo_organic`.
Automate Complex Research Tasks
Set up a team of agents for a research project. A "Manager" agent can delegate tasks to "Worker" agents. One worker uses `google_news` to find articles, while another uses `youtube_organic` to find videos on the same topic. The agents then discuss their findings. The 'Summarizer' agent can synthesize the information from all the tool calls into a final report. You just give the high-level goal and the team works it out.
Specialized Agents, Shared Tools
This MCP server gives your whole multi-agent system a shared set of capabilities. You can create an 'Amazon-Specialist' agent that only has permission to use the `amazon_asin` tool, or a 'Local-SEO-Agent' that uses `google_maps`. When a question comes up that requires one of those skills, the other agents can turn to the specialist. This creates an organized system where each agent has a clear role but can collaborate using the same underlying MCP connection.
Set up DataForSEO 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes DataForSEO tools and returns structured results.
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="DataForSEO_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent DataForSEO data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="DataForSEO_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent DataForSEO data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DataForSEO. 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 DataForSEO MCP in AutoGen
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