How to Use the CFPB Complaints MCP in AutoGen

Debate financial records using CFPB Complaints tools inside your AutoGen multi-agent system.

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Connect CFPB Complaints MCP to AutoGen

Create your Vinkius account to connect CFPB Complaints 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 CFPB Complaints with AutoGen

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AutoGen agents debating CFPB Complaints

Assign one agent to fetch data via `search_complaints` while another analyzes the findings. The agents debate the validity of company responses to reach a consensus. This setup allows for complex deliberation. You get a final, reasoned report rather than a single, potentially biased AI response.

Cross-check CFPB Complaints with AutoGen

Use `get_complaints_with_narrative` to fuel a security-focused agent that flags risky financial patterns. A second agent then verifies these claims against broader state statistics. Negotiation happens automatically through the conversation loop. If one agent finds discrepancies, it challenges the other to re-query the database for more detail.

Autonomous financial oversight in AutoGen

Deploy a multi-agent team to track specific products using `get_complaints_by_product`. Agents discuss the severity of issues and report back only when they agree on a trend. Your system handles the heavy lifting of parsing 8M+ records. By delegating the search and analysis to specialized agents, you build a robust oversight mechanism for financial compliance.

Setup guide

Set up CFPB Complaints 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 CFPB Complaints 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="CFPB Complaints_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent CFPB Complaints 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="CFPB Complaints_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent CFPB Complaints 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 CFPB Consumer Complaint Database. 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 CFPB Complaints MCP in AutoGen

The agents pass the tool outputs back and forth in their conversation history. Each agent reads the JSON data returned by the server and uses it to formulate its next argument.

You assign specific tools to specific agents in your AutoGen configuration. This ensures that only the data-focused agent executes queries while the analyst agent focuses on interpretation.

The McpToolAdapter handles the conversion between the MCP schema and AutoGen's expected format. You just pass the list of tools and let the system manage the schema translation.

Your agent conversation is ephemeral and contained. The sensitive complaint narratives are never cached outside your secure session, and Vinkius ensures the transport remains private.

You can inspect the conversation logs to see which tools were invoked and what data was returned. This audit trail is built into the AutoGen agent loop.

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