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 AutoGen 10 tools — connect in under 2 minutes

Name: Mode Analytics
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Mode Analytics as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="mode_analytics_agent",
            tools=tools,
            system_message=(
                "You help users with Mode Analytics. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Mode Analytics tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the Mode Analytics MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 10 tools from Mode Analytics automatically

Why Use AutoGen with the Mode Analytics MCP Server

AutoGen provides unique advantages when paired with Mode Analytics through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Mode Analytics tools to solve complex tasks

Role-based architecture lets you assign Mode Analytics tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Mode Analytics tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Mode Analytics tool responses in an isolated environment

Mode Analytics + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Mode Analytics MCP Server delivers measurable value.

Collaborative analysis: one agent queries Mode Analytics while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Mode Analytics, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Mode Analytics data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Mode Analytics responses in a sandboxed execution environment

Mode Analytics MCP Tools for AutoGen (10)

These 10 tools become available when you connect Mode Analytics to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Mode Analytics + AutoGen FAQ

Common questions about integrating Mode Analytics MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Mode Analytics tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.