How to Use the Doofinder MCP in AutoGen

Q: How do I manage search engines using Doofinder with AutoGen?

Your agent can call getsearchengines to list all active engines. It can then debate which engine to use for a specific customer query.

Debate your search strategy in AutoGen. Use Doofinder tools to let agents negotiate the best search experience.

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Connect Doofinder MCP to AutoGen

Create your Vinkius account to connect Doofinder 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 Doofinder with AutoGen

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Negotiate search results in AutoGen

Assign one agent to execute `search_filtered` while another reviews the results for relevance. The two agents debate the output until they agree on the best product recommendations for the user. This removes the bias of a single-agent search. By having a critique agent review the raw output of the Doofinder MCP server, you ensure that only the most relevant results reach your end customer.

Automate index management

Use an administrator agent to manage your search configuration. It can call `get_indices` to check your current setup and propose changes to your search engine settings. This agent acts as a gatekeeper. It verifies that any changes align with your current search strategy before applying them, reducing the chance of human error in your configuration.

Analyze performance via debate

Have your agents analyze search health together. One agent pulls data via `get_stats`, and the other interprets the findings to suggest improvements to your keyword strategy. Your agents turn raw stats into actionable advice. This collaborative approach allows for continuous refinement of your search performance without manual intervention.

Setup guide

Set up Doofinder 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 Doofinder 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="Doofinder_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="Doofinder_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Doofinder 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 Doofinder. 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 Doofinder MCP in AutoGen

Pass the Doofinder tools to your AssistantAgent. You can then instruct the agent to use `search_keyword` to find specific items.

Yes. You can set up a multi-agent group chat where one agent retrieves data with `search_custom` and another evaluates the quality.

Your agent can call `get_search_engines` to list all active engines. It can then debate which engine to use for a specific customer query.

The MCP server uses isolated execution. Your product catalog and search stats are accessed only through authorized tool calls, ensuring a secure boundary.

No. The server only has access to your product indices and search metadata. It does not touch your user databases or personal records.

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