Looker (Business Intelligence & Data) MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Looker (Business Intelligence & Data) through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Looker (Business Intelligence & Data) Assistant",
instructions=(
"You help users interact with Looker (Business Intelligence & Data). "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Looker (Business Intelligence & Data)"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 7 tools from Looker (Business Intelligence & Data) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Looker (Business Intelligence & Data), another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 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 Looker (Business Intelligence & Data) to OpenAI Agents SDK via MCP
Follow these steps to integrate the Looker (Business Intelligence & Data) 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 7 tools from Looker (Business Intelligence & Data)
Why Use OpenAI Agents SDK with the Looker (Business Intelligence & Data) MCP Server
OpenAI Agents SDK provides unique advantages when paired with Looker (Business Intelligence & Data) 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
Looker (Business Intelligence & Data) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Looker (Business Intelligence & Data) MCP Server delivers measurable value.
Automated workflows: build agents that query Looker (Business Intelligence & Data), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Looker (Business Intelligence & Data), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Looker (Business Intelligence & Data) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Looker (Business Intelligence & Data) to resolve tickets, look up records, and update statuses without human intervention
Looker (Business Intelligence & Data) MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Looker (Business Intelligence & Data) to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Looker (Business Intelligence & Data) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Looker (Business Intelligence & Data) + OpenAI Agents SDK FAQ
Common questions about integrating Looker (Business Intelligence & Data) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Looker (Business Intelligence & Data) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
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 Looker (Business Intelligence & Data) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.