How to Use the Reportei MCP in OpenAI Agents SDK

Drive OpenAI Agents SDK to build production marketing agents that pull Reportei data and build reports with strict guardrails.

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Connect Reportei MCP to OpenAI Agents SDK

Create your Vinkius account to connect Reportei to OpenAI Agents SDK — 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 OpenAI Agents SDK

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Automate marketing reports with OpenAI Agents SDK

This MCP Server exposes the `create_report` and `list_reportei_reports` tools to let your Python code generate marketing reports automatically. By exposing these functions, your agent can write client-facing documents based on live marketing metrics without you having to click around a dashboard. The OpenAI system auto-discovers these tools, allowing your multi-agent setups to pass tasks between specialized agents. For instance, one agent can pull raw data while another uses `get_report_details` to verify the output before sending it to the client.

Pull raw metrics with built-in guardrails

The `get_reportei_metrics` tool pulls raw performance metrics from connected channels like Facebook and Instagram directly into your agentic workflow. Fetching raw marketing performance data requires strict validation before you feed it into downstream analysis. Using this SDK means you can enforce runtime constraints on how the agent processes these numbers. If your agent tries to query data for a project that doesn't exist, the SDK catches the error before execution, avoiding API waste.

Map client projects and connected integrations

Your agent uses the `list_reportei_projects` and `list_integrations` tools to map out which client has which social media profile connected. Managing multiple client accounts requires a clear map of active projects and their connected accounts. Because the framework supports clean tracing over the MCP connection, you can monitor exactly when and why your agent calls `get_client` or `list_clients`. Every tool call is logged in your OpenAI dashboard, so you always know which API keys were touched.

Setup guide

Set up Reportei MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Reportei tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Reportei tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Reportei tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Reportei Agent",
            instructions="You have access to Reportei tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

Install the SDK via pip and initialize the server using MCPServerStreamableHttp with your Vinkius endpoint. Pass this server instance in the mcp_servers list when instantiating your agent. The agent automatically discovers all ten tools, including `create_report` and `list_clients`.

Yes, you can filter the exposed tools at the agent level or handle permissions through your Vinkius dashboard. This prevents a specialized agent from invoking write actions like `add_reportei_event` if it only needs to read metrics.

The SDK relies on your agent's execution loop to handle tool errors. If `get_reportei_metrics` hits an API rate limit, the agent receives the error response directly and can be prompted to retry or back off.

Yes, because the MCP Server schema definitions for tools like `list_reportei_reports` are strictly mapped. The underlying OpenAI models are highly optimized for tool calling, ensuring they pass the correct arguments every time.

It routes requests through a zero-trust V8 sandbox that never stores your raw Google or Facebook metrics. The server only acts as an ephemeral bridge, passing client details from `get_client` directly to your local Python execution environment.

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