Looker (Business Intelligence & Data) 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 Looker (Business Intelligence & Data) as an MCP tool provider through the 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="looker_business_intelligence_data_agent",
tools=tools,
system_message=(
"You help users with Looker (Business Intelligence & Data). "
"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 Looker (Business Intelligence & Data) MCP Server
Connect your Looker instance to any AI agent and take full control of your enterprise business intelligence and data analytics through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Looker (Business Intelligence & Data) tools. Connect 7 tools through the 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
- Dashboard Orchestration — List all managed dashboards and retrieve detailed configuration metrics and query structures directly from your agent
- Dynamic Data Queries — Execute inline queries against specific models and views to fetch literal dimensions and measures in real-time
- Look & Report Audit — Access saved 'Looks' to retrieve model mappings and applied filters for consistent data reporting across your organization
- Content & Folder Search — Search through content metadata and navigate folder hierarchies to identify key datasets and analytical assets securely
- Metadata Inspection — Extract precise UUIDs and configuration trees for dashboards and looks to understand the underlying data logic
- Resource Inventory — Enumerate root folders and top-level models to audit permissions and organizational structure across your Looker tenant
The Looker (Business Intelligence & Data) 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 Looker (Business Intelligence & Data) to AutoGen via MCP
Follow these steps to integrate the Looker (Business Intelligence & Data) 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 Looker (Business Intelligence & Data) automatically
Why Use AutoGen with the Looker (Business Intelligence & Data) MCP Server
AutoGen provides unique advantages when paired with Looker (Business Intelligence & Data) through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Looker (Business Intelligence & Data) tools to solve complex tasks
Role-based architecture lets you assign Looker (Business Intelligence & Data) 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 Looker (Business Intelligence & Data) tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Looker (Business Intelligence & Data) tool responses in an isolated environment
Looker (Business Intelligence & Data) + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Looker (Business Intelligence & Data) MCP Server delivers measurable value.
Collaborative analysis: one agent queries Looker (Business Intelligence & Data) while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Looker (Business Intelligence & Data), a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Looker (Business Intelligence & Data) data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Looker (Business Intelligence & Data) responses in a sandboxed execution environment
Looker (Business Intelligence & Data) MCP Tools for AutoGen (7)
These 7 tools become available when you connect Looker (Business Intelligence & Data) to AutoGen via MCP:
get_dashboard
Get complete details and queries mapping a Looker Dashboard ID
get_look
Get full mapped details tracing a strict Looker target Look object
list_dashboards
List Looker dashboards
list_folders
List root Folders analyzing explicit environment structures
list_looks
List saved specific dataset mappings tracked as Looks
run_inline_query
Execute queries building models specifically fetching literal dimensions dynamically natively
search_content
Search content metadata explicit mapping targets natively across instance
Example Prompts for Looker (Business Intelligence & Data) in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Looker (Business Intelligence & Data) immediately.
"List the last 5 dashboards created in my Looker instance"
"Run a query using model 'sales' and view 'orders' for fields 'orders.created_date' and 'orders.total_amount'"
"Find all dashboards related to 'Marketing ROI'"
Troubleshooting Looker (Business Intelligence & Data) MCP Server with AutoGen
Common issues when connecting Looker (Business Intelligence & Data) to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Looker (Business Intelligence & Data) + AutoGen FAQ
Common questions about integrating Looker (Business Intelligence & Data) 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?
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Microsoft's framework for multi-agent collaborative conversations.
Connect Looker (Business Intelligence & Data) to AutoGen
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.