How to Use the Reportei MCP in AutoGen

Q: How do I register Reportei MCP Server tools with an AutoGen agent?

Use mcpservertools with your Vinkius HTTP URL to fetch the tool definitions. Pass this list to your AssistantAgent constructor, and the adapter will handle the schema conversion.

Q: Can AutoGen agents manage multiple clients using Reportei?

Yes. Your supervisor agent can call listclients to distribute tasks among specialist agents. Each specialist then uses getclient to manage the specific marketing data for their assigned account.

Q: Can AutoGen agents filter projects automatically?

Yes. An agent can call listreporteiprojects to find the ID of a specific marketing campaign. It then uses that ID to filter reports or timelines, keeping the agent discussion focused on the correct project.

Let AutoGen agents debate and optimize your Google and Facebook marketing reports using live performance metrics.

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Connect Reportei MCP to AutoGen

Create your Vinkius account to connect Reportei to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Reportei with AutoGen

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Run AutoGen agent debates on marketing performance data

The Reportei MCP Server provides AutoGen agents with direct access to live marketing performance data. Build a team of virtual analysts that challenge each other's optimization ideas. One agent pulls performance data using `get_reportei_metrics`, while another checks connection statuses with `list_integrations` to verify data sources. This multi-agent setup prevents hasty conclusions. The agents discuss budget allocations based on real numbers before agreeing on the final summary to present to your client.

Automate report reviews with consensus-driven agents

This MCP Server allows AutoGen agents to collaboratively review and generate marketing reports. An agent can pull draft details using `get_report_details` and compare them against historical documents retrieved via `list_reportei_reports`. If the numbers look off, the agents flag the discrepancy and debate the cause. Once they reach consensus, they can use `create_report` to generate a corrected version automatically.

Track campaign milestones through collaborative agent actions

This marketing integration lets your AutoGen agent teams track and write campaign milestones autonomously. These collaborative agents monitor performance and write updates to the client timeline using `add_reportei_event`. Before making a change, the coordinator agent calls `list_reportei_timeline` to see what actions have already been taken. This prevents agents from overwriting each other's work during complex optimization loops.

Setup guide

Set up Reportei 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 Reportei 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="Reportei_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Use mcp_server_tools with your Vinkius HTTP URL to fetch the tool definitions. Pass this list to your AssistantAgent constructor, and the adapter will handle the schema conversion.

Yes. Your supervisor agent can call list_clients to distribute tasks among specialist agents. Each specialist then uses get_client to manage the specific marketing data for their assigned account.

The Vinkius sandbox queues incoming requests to prevent rate limit issues. Even if multiple AutoGen agents call get_reportei_metrics at the same time, the server processes them safely and returns clean data.

Yes. An agent can call list_reportei_projects to find the ID of a specific marketing campaign. It then uses that ID to filter reports or timelines, keeping the agent discussion focused on the correct project.

The server only retrieves analytical metrics and event timelines. This operational data is processed in memory during the agent conversation and is never stored permanently by the MCP Server.

Use it with your favorite AI tools

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