Metabase (Business Intelligence & Analytics) MCP Server for LlamaIndex 7 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Metabase (Business Intelligence & Analytics) as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Metabase (Business Intelligence & Analytics). "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Metabase (Business Intelligence & Analytics)?"
)
print(response)
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 Metabase (Business Intelligence & Analytics) MCP Server
Connect your Metabase instance to any AI agent and take full control of your enterprise business intelligence, data visualizations, and reporting through natural conversation.
LlamaIndex agents combine Metabase (Business Intelligence & Analytics) tool responses with indexed documents for comprehensive, grounded answers. Connect 7 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Dashboard Orchestration — List all managed reporting panels and retrieve detailed layout matrices, including specific card mappings and filter structures directly from your agent
- Question & Card Audit — Access visual 'Cards' to retrieve the underlying SQL logic or visualization definitions driving your key business metrics securely
- Global Content Search — Execute cross-platform searches to identify Dashboards, Cards, or Data tables matching specific keywords across your entire Metabase instance
- Collection Navigation — Explore hierarchical BI Collections (folders) to understand your reporting taxonomy and organizational data boundaries natively
- Database Inventory — Enumerate physical data warehouse connections and raw table mappings available for querying within your Metabase environment
- Metadata Inspection — Deep-dive into specific Dashboard or Card IDs to retrieve precise JSON representations and chronological data insights instantly
The Metabase (Business Intelligence & Analytics) MCP Server exposes 7 tools through the Vinkius. Connect it to LlamaIndex 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 Metabase (Business Intelligence & Analytics) to LlamaIndex via MCP
Follow these steps to integrate the Metabase (Business Intelligence & Analytics) MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 7 tools from Metabase (Business Intelligence & Analytics)
Why Use LlamaIndex with the Metabase (Business Intelligence & Analytics) MCP Server
LlamaIndex provides unique advantages when paired with Metabase (Business Intelligence & Analytics) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Metabase (Business Intelligence & Analytics) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Metabase (Business Intelligence & Analytics) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Metabase (Business Intelligence & Analytics), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Metabase (Business Intelligence & Analytics) tools were called, what data was returned, and how it influenced the final answer
Metabase (Business Intelligence & Analytics) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Metabase (Business Intelligence & Analytics) MCP Server delivers measurable value.
Hybrid search: combine Metabase (Business Intelligence & Analytics) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Metabase (Business Intelligence & Analytics) to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Metabase (Business Intelligence & Analytics) for fresh data
Analytical workflows: chain Metabase (Business Intelligence & Analytics) queries with LlamaIndex's data connectors to build multi-source analytical reports
Metabase (Business Intelligence & Analytics) MCP Tools for LlamaIndex (7)
These 7 tools become available when you connect Metabase (Business Intelligence & Analytics) to LlamaIndex via MCP:
get_card
Fetch explicit mapping logic behind a specific BI Card
get_dashboard
Get comprehensive Metabase Dashboard layout matrices
list_cards
Returns heavy lists. List raw questions (cards) parsed inside Metabase
list_collections
List structural BI Collections (folders)
list_dashboards
List dashboards mapped in the Metabase BI platform
list_databases
List physical Database integrations parsed by Metabase
search_content
Search global reporting entities across Metabase
Example Prompts for Metabase (Business Intelligence & Analytics) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Metabase (Business Intelligence & Analytics) immediately.
"List the last 5 dashboards created in my Metabase instance"
"Search for any Metabase content related to 'Revenue'"
"Show me the configuration for card ID '654'"
Troubleshooting Metabase (Business Intelligence & Analytics) MCP Server with LlamaIndex
Common issues when connecting Metabase (Business Intelligence & Analytics) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMetabase (Business Intelligence & Analytics) + LlamaIndex FAQ
Common questions about integrating Metabase (Business Intelligence & Analytics) MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Metabase (Business Intelligence & Analytics) 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 Metabase (Business Intelligence & Analytics) to LlamaIndex
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.