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Mode (Collaborative Data Platform) MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools SDK

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

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 (Collaborative Data Platform) Assistant",
            instructions=(
                "You help users interact with Mode (Collaborative Data Platform). "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
Mode (Collaborative Data Platform)
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About Mode (Collaborative Data Platform) MCP Server

Connect your Mode Analytics account to any AI agent and take full control of your enterprise business intelligence, collaborative SQL reporting, and data source management through natural conversation.

The OpenAI Agents SDK auto-discovers all 7 tools from Mode (Collaborative Data Platform) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Mode (Collaborative Data Platform), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Report Orchestration — List all managed data reports and retrieve detailed analytical parameters, including chart configurations and query states directly from your agent
  • Space Navigation — Explore organizational 'Spaces' (Personal, Shared) to retrieve the exact report tokens needed to query scoped analytical boundaries natively
  • Global Analytics Search — Execute workspace-wide searches to identify specific reports and datasets matching literal metadata descriptions or keywords
  • Data Source Audit — Enumerate explicit database and warehouse connector sources bound to your Mode account to understand which schemas are available for querying
  • Member Tracking — List statically tracked analytical users within your workspace to verify report ownership and collaborative boundaries securely
  • Metadata Inspection — Deep-dive into specific Report or Space tokens to retrieve precise configuration details and chart definitions instantly

The Mode (Collaborative Data Platform) MCP Server exposes 7 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 (Collaborative Data Platform) to OpenAI Agents SDK via MCP

Follow these steps to integrate the Mode (Collaborative Data Platform) MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

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

03

Run the script

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

04

Explore tools

The agent will automatically discover 7 tools from Mode (Collaborative Data Platform)

Why Use OpenAI Agents SDK with the Mode (Collaborative Data Platform) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Mode (Collaborative Data Platform) through the Model Context Protocol.

01

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

02

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

03

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

04

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

Mode (Collaborative Data Platform) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Mode (Collaborative Data Platform) MCP Server delivers measurable value.

01

Automated workflows: build agents that query Mode (Collaborative Data Platform), process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Mode (Collaborative Data Platform), another analyzes results, a third generates reports

03

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

04

Customer support bots: agents query Mode (Collaborative Data Platform) to resolve tickets, look up records, and update statuses without human intervention

Mode (Collaborative Data Platform) MCP Tools for OpenAI Agents SDK (7)

These 7 tools become available when you connect Mode (Collaborative Data Platform) to OpenAI Agents SDK via MCP:

01

get_report

Get specific analytical parameters mapping a single tracked Mode report token

02

get_space

Get parameters mapping an explicitly targeted collection Space

03

list_data_sources

List explicit Database/Warehouse connector sources bound to Mode

04

list_members

List statically tracked analytical users joined within the workspace

05

list_reports

List static data reports generated by the Mode workspace

06

list_spaces

List accessible Spaces isolating datasets across the Mode workspace

07

search_reports

Search all reports evaluating queries natively against Mode API

Example Prompts for Mode (Collaborative Data Platform) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Mode (Collaborative Data Platform) immediately.

01

"List all reports in my 'Shared' space"

02

"Search for any reports related to 'Marketing ROI' in the workspace"

03

"Show me the data sources currently connected to our Mode account"

Troubleshooting Mode (Collaborative Data Platform) MCP Server with OpenAI Agents SDK

Common issues when connecting Mode (Collaborative Data Platform) to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

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

Mode (Collaborative Data Platform) + OpenAI Agents SDK FAQ

Common questions about integrating Mode (Collaborative Data Platform) MCP Server with OpenAI Agents SDK.

01

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.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Mode (Collaborative Data Platform) to OpenAI Agents SDK

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.