How to Use the Mode Analytics MCP in OpenAI Agents SDK
Trigger report runs and query Mode Analytics data directly from your OpenAI Agents SDK production pipeline.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mode Analytics MCP to OpenAI Agents SDK
Create your Vinkius account to connect Mode Analytics 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.
Automate data discovery with OpenAI Agents SDK
Your agent scans your entire workspace using `list_mode_spaces` and `list_mode_reports`. It maps out available data without you writing a single manual query. Stop digging through web interfaces. Use `list_mode_queries` to pull raw SQL definitions straight into your agent's context for immediate analysis.
Execute live report runs via MCP Server
Fire off `run_mode_report` whenever your agent needs the latest numbers. It triggers the backend job and returns the run status instantly. Check the progress of long-running queries with `get_mode_report_run`. Your agent waits for completion before processing the final result set.
Manage team access and account details
Keep your agent aware of who is working on what by calling `list_mode_members`. It helps your agent understand the context of specific report modifications. Verify your current environment with `get_mode_account`. You'll know exactly which credentials your agent is using to pull sensitive business metrics.
Set up Mode Analytics 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 Mode Analytics tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Mode Analytics tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Mode Analytics 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="Mode Analytics Agent",
instructions="You have access to Mode Analytics 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 Mode Analytics. 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 Mode Analytics MCP in OpenAI Agents SDK
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