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How to Use the Mode Analytics MCP in AutoGen

Enable debate-driven analytics by giving your AutoGen agents direct access to Mode Analytics tools.

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AutoGen

Connect Mode Analytics MCP to AutoGen

Create your Vinkius account to connect Mode Analytics 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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Debate report results between agents

Let one agent trigger `run_mode_report` while another agent critiques the output. They verify the numbers together before presenting a final answer. This catches errors early. If the data looks off, the agents discuss the discrepancy and decide whether to re-run the report or check the underlying query.

Negotiate workspace access

Use `list_mode_spaces` and `list_mode_members` to let agents negotiate permissions. They confirm access rights before attempting to pull sensitive data. It creates a safety check. Agents won't waste time trying to access reports they aren't authorized to see, keeping your pipeline clean.

Inspect query definitions

Have your agents call `list_mode_definitions` to understand how metrics are calculated. They debate the logic, ensuring the final output matches your business requirements. This removes ambiguity. Agents agree on the definitions before they ever touch the data, preventing misinterpretations of your internal metrics.

Setup guide

Set up Mode Analytics MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes Mode Analytics 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="Mode Analytics_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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Common questions about Mode Analytics MCP in AutoGen

They use the MCP adapter to see available tools like `run_mode_report`. Once registered, the agents call them whenever they need live data to support their arguments.
Yes. If two agents disagree on a result, they can use the tools to pull raw data or query definitions to find the root cause of the conflict.
It is active for the duration of the agent session. You can manage access through the server configuration to ensure agents only see what they need.
The server requires an authentication token. Every request made by an agent is signed and validated against your account permissions.
Give them the full toolset to allow for deep investigation. This includes `get_mode_report` and `list_mode_queries` so they have full context for their debates.

Start using the Mode Analytics MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Mode Analytics. Just plug in your AI agents and start using Vinkius.

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