How do I find my API Token and Secret?

In Mode, click on your name in the top left, go to **My Account** > **API Tokens**. There you can create and manage your API keys.

What is the Workspace slug?

The Workspace slug is the unique identifier for your organization in the Mode URL (e.g., `app.mode.com/org_name`). The `org_name` part is your workspace slug.

Can I provide parameters when running a report?

Yes! The `run_mode_report` action accepts an optional `parameters` field where you can provide a JSON string of keys and values used by the report.

Mode Analytics MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Mode Analytics
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Mode Analytics through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Mode Analytics Assistant",
            instructions=(
                "You help users interact with Mode Analytics. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Mode Analytics"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Mode Analytics MCP Server

Connect your Mode Analytics workspace to any AI agent and take full control of your data science and business intelligence workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Mode Analytics through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Mode Analytics, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Workspace Oversight — List all spaces and members to maintain visibility over your analytical environment.
Report Discovery — List and retrieve detailed metadata for reports across different spaces.
Live Execution — Trigger new report runs directly through the agent, including support for custom parameters.
Query Auditing — List the underlying SQL queries for any report to understand data lineage and logic.
Definition Tracking — List calculated field definitions to ensure consistency in your metrics.

The Mode Analytics MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Mode Analytics to OpenAI Agents SDK via MCP

Follow these steps to integrate the Mode Analytics MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Mode Analytics

Why Use OpenAI Agents SDK with the Mode Analytics MCP Server

OpenAI Agents SDK provides unique advantages when paired with Mode Analytics through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Mode Analytics + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Mode Analytics MCP Server delivers measurable value.

Automated workflows: build agents that query Mode Analytics, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Mode Analytics, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Mode Analytics tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Mode Analytics to resolve tickets, look up records, and update statuses without human intervention

Mode Analytics MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Mode Analytics to OpenAI Agents SDK via MCP:

get_mode_account

Get authenticated account details

get_mode_report

Get details for a specific report

get_mode_report_run

Get details for a report run

list_mode_definitions

List calculated field definitions

list_mode_members

List workspace members

list_mode_queries

List SQL queries in a report

list_mode_report_runs

List runs for a report

list_mode_reports

List reports in a space

list_mode_spaces

List Mode Analytics spaces

run_mode_report

Trigger a new run for a report

Example Prompts for Mode Analytics in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Mode Analytics immediately.

"List all reports in the 'Marketing Analytics' space."

"Run the report with token 'rep_12345' and check its latest status."

"Show me the SQL query used in the 'Churn Analysis' report."

Troubleshooting Mode Analytics MCP Server with OpenAI Agents SDK

Common issues when connecting Mode Analytics to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Mode Analytics + OpenAI Agents SDK FAQ

Common questions about integrating Mode Analytics MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.