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PopNx MCPMCP servers for people who use AI · explained in plain words

Metabase

by metabaseversion 0.1.0i★ 50,317 (Stars for the whole repo)iRuns in the cloud
Registry nameio.github.metabase/mcp

How to install

What it does

Lets AI clients search, explore, query, and visualize data in a Metabase instance.

  • Connects Runs in the cloud
  • Account or key No key needed
  • Category Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Passed 2/3 checks · What you ask goes through the maker’s server ({metabase_host}) · ✓ Commands checked Nov 13, 2026

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude, with some setup first

The address has {…} parts you must replace with your own first · Set it up once on claude.ai or the desktop app, then use it in chat · free accounts can add 1 · on Team/Enterprise an Owner adds it

  1. Open Claude’s Connectors page

    CustomizeConnectors

    CustomizeConnectors1Add2https://…3Add4
  2. Click “Add” → “Custom” → “Web” and fill in these 2 fields

    Copy each value into the field with the same name in Claude, then click Continue

    Name · NameMetabase
    Remote MCP server URL · Addresshttps://{metabase_host}/api/mcp

    Click Continue past the sign-in settings Claude detected · under Authentication choose what the maker says (Sign in now, Sign in when needed or No sign in), then click Add

  3. Turn it on in a chat

    +ConnectorsMetabase

  4. Try it

    Use Metabase and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using Metabase or shows a Metabase tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with ChatGPT, depending on your plan

Full MCP: ChatGPT Business, Enterprise or Edu on the web · Pro: connects with read/fetch permissions, so tools that change data may not work · Plus: not confirmed in OpenAI’s docs; if you see an add-custom-MCP option on the Plugins page you can try these steps · web only · The address has {…} parts you must replace with your own first

  1. Open ChatGPT’s add-MCP page on the web

    Plugins+Add custom MCP server

    ChatGPTPlugins1+2https://…3Create4
  2. Fill in the name and address

    Enter a name, paste the address under Connection, tick the risk warning and click Create as a plugin

    Name · NameMetabase
    Connection · Addresshttps://{metabase_host}/api/mcp
  3. Pick Metabase in a chat

    Start a new chat and pick Metabase from your plugins before typing

  4. Try it

    Use Metabase and tell me what you can do for me, then show me one thing

    ✓ If ChatGPT says it is using Metabase or shows a Metabase tool in the answer, you are connected

Menu names checked against OpenAI’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Claude Code, with some setup first

The address has {…} parts you must replace with your own first

  1. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  2. Paste this command and press Enter

    claude mcp add --transport http --scope user metabase 'https://{metabase_host}/api/mcp'
  3. Type /mcp in Claude Code

    You should see Metabase listed as connected

  4. Try it

    Use Metabase and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using Metabase or shows a Metabase tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

The address has {…} parts you must replace with your own first

  1. Open Cursor’s MCP settings file

    ~/.cursor/mcp.json

    Paste these settings, fill in the empty values and save

    {
      "mcpServers": {
        "metabase": {
          "url": "https://{metabase_host}/api/mcp"
        }
      }
    }
  2. Open the AI chat in Cursor in Agent mode

  3. Try it

    Use Metabase and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using Metabase or shows a Metabase tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

The address has {…} parts you must replace with your own first

  1. Open VS Code’s MCP settings file

    MCP: Open User Configuration

    Paste these settings, fill in the empty values and save

    {
      "servers": {
        "metabase": {
          "type": "http",
          "url": "https://{metabase_host}/api/mcp"
        }
      }
    }
  2. Open the AI chat in VS Code in Agent mode

  3. Try it

    Use Metabase and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using Metabase or shows a Metabase tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

Address for apps that connect over the web

Addresshttps://{metabase_host}/api/mcp

JSON settings are under “For developers” below

Stuck? Ask people who use Metabase💬 Discussion →
For developers: Terminal commands and JSON settings

Over the web

Claude Code

claude mcp add --transport http --scope user metabase 'https://{metabase_host}/api/mcp'

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "metabase": {
      "url": "https://{metabase_host}/api/mcp"
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "metabase": {
      "type": "http",
      "url": "https://{metabase_host}/api/mcp"
    }
  }
}

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

GitHub starsi
50,317 (Stars for the whole repo)
This repo holds several MCP listings; its stars count once in rankings
Downloads per weeki
Not on npm/PyPI
Licencei
No licence stated
Connection
Runs in the cloud
Transport
streamable-http
Latest versioni
0.1.0
Published to registryi
May 6, 2026
Code last changedi
Nov 14, 2026
Maker
metabase
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Connect over the internet in

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

All apps, with pros and cons →

Related guides

What it can do

The address needs your own values, so we cannot read the tool list for you.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 15, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account metabase, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed yesterday

  • ! Caution

    Has a licence

    GitHub could not identify the licence type; open the file to check

  • – Not applicable

    Endpoint responds

    The address needs your own account values, so we cannot check it for you

  • – Not applicable

    Sign-in with OAuth

    The address needs your own account values, so we cannot check it for you

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

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Posts here are written by users, not the PopNx team.

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User reviews

No reviews yet

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Compared with others in Search & AI memoryi

  • More stars than 99% of the other 6131 servers in this category
  • Published to the registry more recently than 11% of the other 6131 servers in this category
  • Basic checks equal to or better than 50% of the other 6131 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Metabase safe?

It passed 2 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed yesterday, and the latest version (0.1.0) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT on the web (full MCP on Business and above; Pro read-only).

What can I use instead?

In the same category: Context7, Codebase Memory, OpenSEO

Others in the same category

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 1.2M/wk★ 64.8KUpdated 3 days ago

Computer or cloud

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

by DeusDataWidely used↓ 16.8K/wk★ 48.6KUpdated 29 days ago

Runs on your computer

OpenSEO

Keyword research, site audits, rank tracking and AI visibility for your AI agent.

by every-appWidely used★ 27.7KUpdated yesterday

Runs in the cloud✓ everyapp.com

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Metabase MCP Server

Metabase includes a built-in Model Context Protocol (MCP) server that lets AI clients connect directly to a Metabase instance. It uses the Streamable HTTP transport and builds on Metabase's Agent API to expose tools for searching, navigating, querying, visualizing, and creating/updating content - all scoped to the connecting user's permissions.

Endpoint

The MCP server is available at:

https://{your-metabase.example.com}/api/metabase-mcp

The legacy /api/mcp path still works as an alias for existing clients, but /api/metabase-mcp is the canonical URL to advertise.

Connecting a client

Point any MCP-compatible client at the /api/metabase-mcp endpoint. For example, with Claude Code:

claude mcp add metabase https://{your-metabase.example.com}/api/metabase-mcp --transport streamable-http

For Claude Desktop, create a custom connector using the same URL.

For Cursor, open Settings > MCP and add a new server with the type set to streamable-http and the URL:

https://{your-metabase.example.com}/api/metabase-mcp

Authentication

MCP clients authenticate via OAuth 2.0. Metabase runs its own embedded OAuth server - no external provider is needed.

The flow for a first-time connection:

  1. The client discovers Metabase's OAuth endpoints.
  2. The client registers itself with Metabase.
  3. The user is redirected to Metabase to log in and approve the connection.
  4. The client receives an access token scoped to the user's Metabase permissions.

MCP accepts only an OAuth access token. On the MCP paths the session middleware ignores session cookies and API keys, so such a request gets the same 401 discovery challenge as a request with no credential. An mb:full token holds no MCP scope, so it can connect but call no scoped tool.

Scopes

Access tokens are scoped to limit what tools a client can use:

ScopeTools it grants
agent:content:readbrowse_collection, browse_data, get_content, get_parameter_values, glossary, learn, search, and the catalog://metabase/fields data resource (see Resources)
agent:content:writebookmark_content, collection_write, dashboard_write, document_write, duplicate_content, measure_write, metric_write, question_write, segment_write
agent:delivery:writealert_write, subscription_write
agent:query:runexecute_query, refresh_ui_credential, render_drill_through, run_saved_question, visualize_query
agent:sql:runexecute_sql

A tool matches only the exact scope in the table. A wildcard such as * or agent:*, and the ::unrestricted sentinel, are not MCP scopes, so they grant no tool.

These scopes gate the MCP surface only. No REST endpoint may declare one as its :scope, so a new token issued to an MCP client grants nothing on the REST API.

The protected-resource metadata's scopes_supported and the scope of the 401 challenge both list every scope in the table, so a fresh connection asks for all of them. Some clients do not step up after a 403: a manual reconnect from Claude's connector settings registers a new client and asks for exactly what these list. When they listed only the baseline, that reconnect never offered writes, raw SQL, or delivery, and the user had no way to grant them (ENG-11089). The authorization server metadata advertises all of them too.

The baseline (agent:content:read agent:query:run) is locked on the consent screen: when a client requests one of these, the user cannot untick it. agent:query:run is in the baseline so that charts never need a step-up. Claude Desktop retries a tool after a step-up over a session that doesn't declare MCP Apps support, so a stepped-up visualize_query is refused and its chart never embeds.

A tool call or data resource read the token lacks a scope for is refused with HTTP 403 and a WWW-Authenticate: Bearer error="insufficient_scope" challenge whose scope lists the v2 scopes the token already holds plus the one required, so a client can step up. Each tool also declares its scope in securitySchemes, which is draft SEP-1488, supported by ChatGPT. It is not part of MCP 2025-03-26 (the version this server reports) or the final 2026-07-28 tools spec, so other clients discover the missing scope from the 403 instead. Inside a JSON-RPC batch the refusal is an in-band -32600 error instead. UI shell reads are never challenged: see Resources.

OAuth protected resource metadata is available at:

/.well-known/oauth-protected-resource/api/metabase-mcp

On the consent screen, every scope the client requested starts ticked, and the baseline scopes are also locked. Only the scopes left ticked are granted, and only for the token this authorization mints. An untick never touches a token the app already has. A scope left unticked is not remembered by Metabase. A later 403 can trigger another step-up in clients that support it. Other clients may require manual reauthorization. Each challenge's error_description ends with a note that the user must grant the permission on the consent screen.

Several clients replace the 403's error_description with their own text, so the initialize result's instructions explain scope failures to the model too: an auth error usually means a missing permission rather than an expired login, the model should name the failed tool or resource and the permission it requires, and the user grants it by reconnecting and leaving the permission ticked on the consent screen. The instructions are one static string, the same for every caller: there is no per-connection permission list.

Per-group tool access

On Enterprise instances with the ai_controls feature, an admin can narrow the surface per permissions group on Admin > AI > Usage controls > MCP tools access (shown whenever the MCP server is on, with or without an LLM provider). Each group has a row in mcp_group_permission saying whether its members may connect at all and, per tool name, the admin's explicit "yes" or "no"; a tool with no entry takes the default its author declared, so every deftool carries a required :default-access of :allowed or :denied and a tool released later gets exactly that default in every group until an admin overrides it. Entries are keyed by tool name, so renaming a tool needs :renamed-from with its former names (a stored entry under a former name still applies and the admin API presents it under the current name), or the author accepts that every admin's choice for it is discarded; metabase.mcp.v2.tool-names-test pins the live names so neither happens by accident. A user's effective policy is the tool_access of each group of theirs whose row enables MCP: MCP is on when any such group exists, and a tool is allowed when any of those groups resolves it to yes. The rows alone decide it, and they also record the permission mode: simple mode (Administrators, All Users, and All tenant users) or group-level mode (every other group), which is the state in which All Users has no row. A switch deletes the rows of the groups the new mode hides and seeds the groups it enables on entry that have no row (Data Analysts on entering group-level mode, All Users and All tenant users on leaving it), and PUT refuses a group the current mode hides, so no request reads a cached mode. The policy is applied on top of OAuth scopes in tools/list and tools/call (v2/registry.clj), and a user whose groups grant no access is refused at initialize and at resources/read (for sessions opened before MCP was turned off) with an error naming the fix. App-only tools (_meta {:ui {:visibility ["app"]}}, i.e. refresh_ui_credential) are not on the admin page: they are allowed while the policy allows any MCP Apps tool. Superusers and internal callers are never narrowed; OSS allows everything. On Enterprise the stored rows are enforced even without the ai_controls feature (an expired or unverifiable token keeps the restrictions an admin configured); the feature only gates the admin page and API. The resolver is permissions.clj (defenterprise, EE implementation in metabase-enterprise.mcp.permissions) and the admin API is /api/ee/ai-controls/mcp-permissions.

Available tools

Generated from the v2 registry (deftool). The scope named here is what the registry checks before the tool runs; some handlers check a further scope once they know what the call does - agent:sql:run when a source resolves to native SQL (question_write), and agent:query:run for the execution an alert or subscription defers (alert_write, subscription_write). Those refusals carry the same 403 insufficient_scope challenge. tools/list shows every tool whatever the token holds, and a token missing the scope may not call it.

ToolScopeDescription
alert_writeagent:delivery:writeCreate or update an alert: a notification sent on a schedule when a saved question's results meet a condition.
bookmark_contentagent:content:writeAdd or remove a bookmark on content for the calling user — the same starred/favorites list the Metabase sidebar shows.
browse_collectionagent:content:readBrowse collections structurally — one uniform id over every partition: a numeric id, a 21-char entity_id, "root" (re-rooted per namespace), or "trash" (archived content, items mode only).
browse_dataagent:content:readBrowse the data hierarchy: databases → schemas → tables → fields.
collection_writeagent:content:writeCreate, rename, move, archive, or restore a collection — the folders that hold questions, dashboards, models, and documents.
dashboard_writeagent:content:writeCreate or update a dashboard and edit its layout with ordered ops.
document_writeagent:content:writeCreate or update a document.
duplicate_contentagent:content:writeCopy a question, dashboard, or document into a collection — cheaper and safer than reading the original and re-creating it, and it preserves everything the read projections leave out.
execute_queryagent:query:runThe default way to answer a question from data: validate and execute a structured (MBQL) query, returning rows plus a query_handle.
execute_sqlagent:sql:runEscape hatch: execute a raw SQL string against a database, returning rows plus a query_handle.
get_contentagent:content:readFetch content by {type, id} — the typed read for anything found via search or browse_collection.
get_parameter_valuesagent:content:readFetch the valid values for one filter on a dashboard or saved question, so you filter with real values instead of guessing.
glossaryagent:content:readLook up a business term as this Metabase instance defines it; the defined term names ride the tool's own description.
learnagent:content:readRead this server's task docs (skills) for the write dialects the schemas can't fully describe.
measure_writeagent:content:writeCreate or update a measure: a named, reusable MBQL aggregation attached to one table, referenced inside another query's aggregation as ["measure", id].
metric_writeagent:content:writeCreate or update a metric: a saved, reusable aggregation that lives in a collection and can be queried on its own or referenced from other queries.
question_writeagent:content:writeCreate, update, or archive a saved question or model.

| refresh_ui_credential | agent:query:run | Ref

Only the beginning is shown; read the rest in the repo