Mode (Collaborative Data Platform) MCP Server for AutoGen 7 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Mode (Collaborative Data Platform) as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
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Vinkius supports streamable HTTP and SSE.
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_collaborative_data_platform_agent",
tools=tools,
system_message=(
"You help users with Mode (Collaborative Data Platform). "
"7 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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 (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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Mode (Collaborative Data Platform) tools. Connect 7 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
- 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 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 (Collaborative Data Platform) to AutoGen via MCP
Follow these steps to integrate the Mode (Collaborative Data Platform) 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 7 tools from Mode (Collaborative Data Platform) automatically
Why Use AutoGen with the Mode (Collaborative Data Platform) MCP Server
AutoGen provides unique advantages when paired with Mode (Collaborative Data Platform) through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Mode (Collaborative Data Platform) tools to solve complex tasks
Role-based architecture lets you assign Mode (Collaborative Data Platform) 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 (Collaborative Data Platform) tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Mode (Collaborative Data Platform) tool responses in an isolated environment
Mode (Collaborative Data Platform) + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Mode (Collaborative Data Platform) MCP Server delivers measurable value.
Collaborative analysis: one agent queries Mode (Collaborative Data Platform) while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Mode (Collaborative Data Platform), a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Mode (Collaborative Data Platform) data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Mode (Collaborative Data Platform) responses in a sandboxed execution environment
Mode (Collaborative Data Platform) MCP Tools for AutoGen (7)
These 7 tools become available when you connect Mode (Collaborative Data Platform) to AutoGen via MCP:
get_report
Get specific analytical parameters mapping a single tracked Mode report token
get_space
Get parameters mapping an explicitly targeted collection Space
list_data_sources
List explicit Database/Warehouse connector sources bound to Mode
list_members
List statically tracked analytical users joined within the workspace
list_reports
List static data reports generated by the Mode workspace
list_spaces
List accessible Spaces isolating datasets across the Mode workspace
search_reports
Search all reports evaluating queries natively against Mode API
Example Prompts for Mode (Collaborative Data Platform) in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Mode (Collaborative Data Platform) immediately.
"List all reports in my 'Shared' space"
"Search for any reports related to 'Marketing ROI' in the workspace"
"Show me the data sources currently connected to our Mode account"
Troubleshooting Mode (Collaborative Data Platform) MCP Server with AutoGen
Common issues when connecting Mode (Collaborative Data Platform) to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Mode (Collaborative Data Platform) + AutoGen FAQ
Common questions about integrating Mode (Collaborative Data Platform) MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Mode (Collaborative Data Platform) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Mode (Collaborative Data Platform) to AutoGen
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.