Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Lets AI clients search, explore, query, and visualize data in a Metabase instance.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://{metabase_host}/api/mcp주소에 나만 아는 {…} 부분(예: 내 계정)이 있어서, 복사한 뒤 직접 채워 주세요.
터미널에서 이 명령어를 실행하세요
claude mcp add --transport http metabase 'https://{metabase_host}/api/mcp'주소에 나만 아는 {…} 부분(예: 내 계정)이 있어서, 복사한 뒤 직접 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"metabase": {
"url": "https://{metabase_host}/api/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
주소에 나만 아는 {…} 부분(예: 내 계정)이 있어서, 복사한 뒤 직접 채워 주세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"metabase": {
"type": "http",
"url": "https://{metabase_host}/api/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://{metabase_host}/api/mcp주소에 나만 아는 {…} 부분(예: 내 계정)이 있어서, 복사한 뒤 직접 채워 주세요.
메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 metabase 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
주소에 내 계정 값이 필요해서 대신 점검할 수 없어요
주소에 내 계정 값이 필요해서 대신 점검할 수 없어요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.0)은 6개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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.
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.
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
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:
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.
Access tokens are scoped to limit what tools a client can use:
| Scope | Tools it grants |
|---|---|
agent:content:read | browse_collection, browse_data, get_content, get_parameter_values, glossary, learn, search, and the catalog://metabase/fields data resource (see Resources) |
agent:content:write | bookmark_content, collection_write, dashboard_write, document_write, duplicate_content, measure_write, metric_write, question_write, segment_write |
agent:delivery:write | alert_write, subscription_write |
agent:query:run | execute_query, refresh_ui_credential, render_drill_through, run_saved_question, visualize_query |
agent:sql:run | execute_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.
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.
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.
| Tool | Scope | Description |
|---|---|---|
alert_write | agent:delivery:write | Create or update an alert: a notification sent on a schedule when a saved question's results meet a condition. |
bookmark_content | agent:content:write | Add or remove a bookmark on content for the calling user — the same starred/favorites list the Metabase sidebar shows. |
browse_collection | agent:content:read | Browse 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_data | agent:content:read | Browse the data hierarchy: databases → schemas → tables → fields. |
collection_write | agent:content:write | Create, rename, move, archive, or restore a collection — the folders that hold questions, dashboards, models, and documents. |
dashboard_write | agent:content:write | Create or update a dashboard and edit its layout with ordered ops. |
document_write | agent:content:write | Create or update a document. |
duplicate_content | agent:content:write | Copy 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_query | agent:query:run | The default way to answer a question from data: validate and execute a structured (MBQL) query, returning rows plus a query_handle. |
execute_sql | agent:sql:run | Escape hatch: execute a raw SQL string against a database, returning rows plus a query_handle. |
get_content | agent:content:read | Fetch content by {type, id} — the typed read for anything found via search or browse_collection. |
get_parameter_values | agent:content:read | Fetch the valid values for one filter on a dashboard or saved question, so you filter with real values instead of guessing. |
glossary | agent:content:read | Look up a business term as this Metabase instance defines it; the defined term names ride the tool's own description. |
learn | agent:content:read | Read this server's task docs (skills) for the write dialects the schemas can't fully describe. |
measure_write | agent:content:write | Create or update a measure: a named, reusable MBQL aggregation attached to one table, referenced inside another query's aggregation as ["measure", id]. |
metric_write | agent:content:write | Create 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_write | agent:content:write | Create, update, or archive a saved question or model. |
| refresh_ui_credential | agent:query:run | Ref
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요