How to Use the BallotReady MCP in AutoGen

Q: How do I add BallotReady to my AutoGen agent conversation?

You use the mcpservertools function to register the tools. Once registered, you pass them to your AssistantAgent constructor to enable tool execution.

Let your AutoGen agents debate election outcomes using the BallotReady MCP Server for consensus-driven civic research.

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Connect BallotReady MCP to AutoGen

Create your Vinkius account to connect BallotReady 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 BallotReady with AutoGen

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Perplexity

Debate election data in AutoGen

Assign one agent to `get_ballot_measures` while another critiques the impact. AutoGen forces them to reconcile their findings before presenting a final answer. This setup prevents the agent from settling on the first result it finds. It forces a negotiation that relies on the specific data returned by the tools.

Verify districts with AutoGen agents

Use `list_districts` to provide facts for your agents to evaluate. The security agent can flag invalid addresses while the research agent confirms the district details. This multi-agent flow ensures higher accuracy. You aren't just getting a raw data dump; you're getting a reviewed conclusion from your team of agents.

Negotiate candidate lists in AutoGen

Call `list_candidates` and let your agents argue over the most relevant entries. AutoGen manages the conversation history so they stay on topic. Your system converges on the best candidate profiles by comparing different perspectives. It turns raw API output into a deliberated report.

Setup guide

Set up BallotReady 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 BallotReady 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="BallotReady_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

You use the mcp_server_tools function to register the tools. Once registered, you pass them to your AssistantAgent constructor to enable tool execution.

Yes, if you define multiple agents with different system prompts, they will call these tools and challenge each other's conclusions based on the returned data.

It does. You can use either stdio or Streamable HTTP to connect the server, and the McpToolAdapter handles the schema mapping for you.

You can include the tools in your group chat configuration. This lets any agent in the group request election data as needed during the conversation.

The data is handled within the memory of your local agent processes. We do not log your specific addresses or search history, keeping your civic inquiries isolated to your own session.

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