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Live 14 Actions

Metabase MCP Server
for AI Agents

Connect your AI agent to StackOne's Metabase MCP server and give it ready-to-use MCP tools out of the box. Auth, tool execution, and security all managed.

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Metabase MCP Server
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Coverage

14 Agent Actions

Create, read, update, and delete across Metabase — and extend your agent's capabilities with custom actions.

Authentication

Agent Tool Authentication

Per-user OAuth in one call. Your Metabase MCP server gets session-scoped tokens with zero credentials stored on your infra.

Agent Auth →

Security

Agent Protection

Every Metabase tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.

Prompt Injection Defense →

Performance

Max Agent Context. Min Cost.

Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every Metabase call.

Tools Discovery →

What is the Metabase MCP Server?

A Metabase MCP server lets AI agents read and write Metabase data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Metabase MCP server ships with pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, observability, and agent execution runtime. Connect it from MCP clients like Claude Desktop, Claude Code, Cursor, Goose, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.

All Metabase MCP Tools

Every action from Metabase's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.

API Keys

  • List API Keys

    List the API keys in a Metabase instance, with the group each key belongs to.

Groups

  • List Groups

    List the permission groups in a Metabase instance, with member counts.

  • Get Group

    Get a Metabase permission group by ID, with its members.

Group Memberships

  • List Group Memberships

    List every group membership in a Metabase instance, keyed by user id.

Unified Credentials

  • Get Unified Credentials

    Get the current Metabase connection's unified credentials and identity.

Unified Groups

  • List Unified Groups

    List unified permission groups in a Metabase instance.

  • Get Unified Group

    Get a unified Metabase permission group by ID.

Unified Roles

  • List Unified Roles

    List unified roles in Metabase.

  • Get Unified Role

    Get a unified Metabase role by ID.

Unified Users

  • List Unified Users

    List unified users in a Metabase instance.

  • Get Unified User

    Get a unified Metabase user by ID.

Users

  • List Users

    List people in a Metabase instance, with their group ids.

  • Get User

    Get a Metabase person by ID, with their group memberships.

Current Users

  • Get Current User

    Get the Metabase user the API key acts as.

Set Up Your Metabase MCP Server in Minutes

One endpoint. Any framework. Your agent is talking to Metabase in under 10 lines of code.

Agent Frameworks

Claude Desktop
{
  "mcpServers": {
    "stackone": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://api.stackone.com/mcp?x-account-id=<account_id>",
        "--header",
        "Authorization: Basic <YOUR_BASE64_TOKEN>"
      ]
    }
  }
}

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Metabase MCP Server FAQ

Does StackOne have a Metabase MCP server?
Yes. StackOne offers a hosted Metabase MCP server, and every action is tested and QA'd by StackOne. Connect it to Claude, Cursor, and any other MCP client, or to any agent framework through the AI Action SDK. It ships with managed agent authentication, prompt injection defense, and tool discovery with server-side execution that preserve your agent's context window and keep reasoning performance.
Metabase MCP server vs direct API integration — what's the difference?
A Metabase MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Metabase. A Metabase MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling Metabase at runtime. StackOne provides both.
How does Metabase authentication work for AI agents?
Metabase authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own Metabase account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.
Are Metabase MCP tools vulnerable to prompt injection?
Yes — Metabase MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — documents, messages, tickets, records, or free-text fields — is a potential vector. StackOne Defender scans every tool response before it enters the agent's context — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.
What is the context bloat of a Metabase agent and how do I avoid it?
Context bloat happens when Metabase tool schemas and API responses eat your Metabase agent's memory, preventing it from reasoning effectively. A single Metabase query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery and Code Mode reduce context bloat — loading only relevant tools per query and keeping raw responses out of the agent's context.
Can I limit which actions my Metabase agent can access?
Yes — you can limit which actions your Metabase agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.
Can I create custom agent actions for my Metabase MCP server?
Yes — you can create custom agent actions for your Metabase MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Metabase's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a Metabase MCP server?
Skip a Metabase MCP server if your integration is purely software-to-software — direct Metabase API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call Metabase actions at runtime.
What AI frameworks and AI clients does the StackOne Metabase MCP server support?
The StackOne Metabase MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.

Put your AI agents to work

All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.