How to Use the NinjaCat MCP in OpenAI Agents SDK
Pull NinjaCat reports and campaign data right into your production OpenAI Agents SDK system. No more manual downloads.
Works with every AI agent you already use
…and any MCP-compatible client
Connect NinjaCat MCP to OpenAI Agents SDK
Create your Vinkius account to connect NinjaCat to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Get Marketing Reports on Autopilot
This toolset gives your agent direct access to your NinjaCat reports. Use `list_reports` to see what's available, then have the agent grab a download link with `get_report_download_url` and send it straight to Slack or a customer. It's a simple, reliable way to automate daily reporting tasks. Because you're using the OpenAI Agents SDK, you can build guardrails around this. For example, you can set a rule that prevents the agent from pulling reports for a specific advertiser, adding a layer of safety before the action is ever executed. Your agent gets autonomy, you keep control.
Monitor Campaigns and Data Sources
Your agent can keep an eye on active campaigns and data connections. It uses `list_agency_campaigns` to get a full campaign list and `list_data_sources` to check what's connected, like your Google or Facebook Ads accounts. This is for monitoring, not management—the tools are read-only. You can build specialized agents. One agent could monitor campaign lists from NinjaCat, and if it spots a new one, it hands off the advertiser ID to another agent responsible for pulling performance reports. The SDK's handoff feature makes these multi-agent workflows possible.
Map Your Account with the OpenAI Agents SDK
Before your agent can act, it needs to understand the landscape. Tools like `list_advertisers` and `get_agency_info` let it build a map of your entire account structure. It can find the exact advertiser ID it needs without you having to look it up manually. Every action your agent takes with this MCP Server is logged in the OpenAI dashboard. You get a full trace of it finding an advertiser, listing its reports, and getting a download URL. This makes debugging dead simple and gives you a clear audit trail.
Set up NinjaCat MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all NinjaCat tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives NinjaCat tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate NinjaCat tools and returns structured results. Copy the full example on the right to get started.
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="NinjaCat Agent",
instructions="You have access to NinjaCat tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NinjaCat. 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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60%
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Common questions about NinjaCat MCP in OpenAI Agents SDK
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