Can I run a dynamic query against a LookML model through my agent?

Yes. Use the `run_inline_query` tool by providing the model name, view, and specific fields. Your agent will execute the query securely and return up to 100 rows of data, perfect for rapid data validation.

How do I see the filters applied to a specific Looker dashboard?

The `get_dashboard` tool retrieves the complete configuration for a Dashboard UUID. Your agent will expose the applied filters, element layouts, and underlying query structures directly in your chat interface.

Can my agent help me find reports in my Looker account?

Absolutely. Use the `search_content` tool to perform a deep search across content metadata. Your agent will identify dashboards and looks matching your text query, helping you locate critical data assets instantly.

Looker (Business Intelligence & Data) MCP Server for CrewAI 7 tools — connect in under 2 minutes

Name: Looker (Business Intelligence & Data)
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 7 Tools Framework

Connect your CrewAI agents to Looker (Business Intelligence & Data) through the Vinkius — pass the Edge URL in the `mcps` parameter and every Looker (Business Intelligence & Data) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Looker (Business Intelligence & Data) Specialist",
    goal="Help users interact with Looker (Business Intelligence & Data) effectively",
    backstory=(
        "You are an expert at leveraging Looker (Business Intelligence & Data) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Looker (Business Intelligence & Data) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 7 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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 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.

When paired with CrewAI, Looker (Business Intelligence & Data) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Looker (Business Intelligence & Data) tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Looker (Business Intelligence & Data) MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 7 tools from Looker (Business Intelligence & Data)

Why Use CrewAI with the Looker (Business Intelligence & Data) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Looker (Business Intelligence & Data) through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Looker (Business Intelligence & Data) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Looker (Business Intelligence & Data) MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Looker (Business Intelligence & Data) for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Looker (Business Intelligence & Data), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Looker (Business Intelligence & Data) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Looker (Business Intelligence & Data) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Looker (Business Intelligence & Data) MCP Tools for CrewAI (7)

These 7 tools become available when you connect Looker (Business Intelligence & Data) to CrewAI 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 CrewAI

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

Common issues when connecting Looker (Business Intelligence & Data) to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Looker (Business Intelligence & Data) + CrewAI FAQ

Common questions about integrating Looker (Business Intelligence & Data) MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.