Supabase
MCP server for interacting with the Supabase platform
作者提供的说明(英文原文)
Secure access to DBHawk datasources: browse schemas, run governed queries, DBHawk AI text-to-SQL.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
DBHAWK_BASE_URL, DBHAWK_TOKEN, DBHAWK_DEFAULT_DATASOURCE标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"dbhawk": {
"command": "npx",
"args": [
"-y",
"@dbhawk/mcp"
],
"env": {
"DBHAWK_BASE_URL": "your-value",
"DBHAWK_TOKEN": "your-value",
"DBHAWK_DEFAULT_DATASOURCE": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add dbhawk --env DBHAWK_BASE_URL=your-value --env DBHAWK_TOKEN=your-value --env DBHAWK_DEFAULT_DATASOURCE=your-value -- npx -y @dbhawk/mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"dbhawk": {
"command": "npx",
"args": [
"-y",
"@dbhawk/mcp"
],
"env": {
"DBHAWK_BASE_URL": "your-value",
"DBHAWK_TOKEN": "your-value",
"DBHAWK_DEFAULT_DATASOURCE": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"dbhawk": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@dbhawk/mcp"
],
"env": {
"DBHAWK_BASE_URL": "your-value",
"DBHAWK_TOKEN": "your-value",
"DBHAWK_DEFAULT_DATASOURCE": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
DBHAWK_DEFAULT_DATASOURCE env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过域名 datasparc.com 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:DBHAWK_BASE_URL, DBHAWK_TOKEN
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.4.2)于20天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Supabase, MongoDB MCP Server, Elasticsearch MCP Server
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP server for interacting with the Supabase platform
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Gives an AI assistant access to DBHawk: list the datasources a user is assigned, browse schema/tables/columns, run queries (with the user's access control and column masking applied), and use DBHawk AI text-to-SQL / optimize / format. Data or schema changes are possible only when the user's MCP tier allows them — the default tier is read-only (see Reads, writes and MCP tiers).
It's a thin bridge over the existing DBHawk REST surface at /api/v2/mcp/**. DBHawk decides what runs: every statement is classified and checked against the tier of the user's groups, whatever role the token owner has.
Sign in, or a personal token. Leave DBHAWK_TOKEN empty and the server signs in to DBHawk through the browser on the first tool call: the DBHawk login page opens (password, LDAP, 2FA or SSO - whatever your DBHawk offers), you approve the access once, and the server keeps a refresh token in your user profile for the next start (%APPDATA%\dbhawk-mcp on Windows, ~/Library/Application Support/dbhawk-mcp on macOS, ~/.config/dbhawk-mcp on Linux). This needs DBHawk 7.0.1 with the MCP connector; what you may do is decided by your MCP tier, exactly as with a token. See UPGRADE-7.1.0.md.
With a personal token, auth is two steps. DBHAWK_TOKEN is a personal token (dbh_ . ), not a JWT — the MCP endpoints won't accept it directly. On its first call the server exchanges it for a short-lived JWT at POST /api/v2/auth/token/exchange (sending the personal token in the X-API-Token header), caches that JWT, and sends it as the Bearer for every /api/v2/mcp/** call. Shortly before the JWT's exp the server exchanges a fresh one up front; if a call still gets a 401 it re-exchanges and retries once — transparent to you.
dbhawk-mcp-plugin/ <- this folder = a Claude Code "marketplace" (push it to git)
├── .claude-plugin/marketplace.json └── dbhawk/ <- the actual plugin (installed by users) ├── .claude-plugin/plugin.json ├── .mcp.json <- declares the "dbhawk" stdio MCP server └── mcp-server/ ├── index.js <- source ├── package.json <- build tooling (maintainers only) └── dist/dbhawk-mcp.mjs <- COMMITTED self-contained bundle (what users run; no npm install)
The bundle in dist/ inlines every dependency, so a bare `git clone` runs with zero install — that's what makes /plugin install work.
Once this repo is on GitHub (see *Publish* below), point Claude Code at it and install:
/plugin marketplace add datasparc/dbhawk-mcp-plugin
/plugin install dbhawk@dbhawk-marketplace
dbhawk is the plugin name, dbhawk-marketplace is the marketplace name (from marketplace.json). Then set the connection (see *Configure*) and check the tools are live with /mcp.
Prefer to try it without a git host? Load the local folder for one session:
claude --plugin-dir ./dbhawk-mcp-plugin/dbhawk
.mcpb) — recommendedClaude Desktop installs this as a Desktop Extension with a proper GUI settings form (no JSON editing). It's the same MCP server, packaged as an .mcpb bundle.
dbhawk- .mcpb from the Releases page..mcpb onto the Extensions window).Claude Desktop does not auto-update file-installed extensions: to upgrade, download the newer .mcpb and install it again. This is independent of the Claude Code plugin — you don't need the marketplace plugin installed.
Prefer to wire it by hand instead of the .mcpb? Point Desktop at the bundle with an absolute path. Edit claude_desktop_config.json (Windows: %APPDATA%\Claude\claude_desktop_config.json, macOS: ~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": { "dbhawk": { "command": "C:\\Program Files\\nodejs\\node.exe", "args": ["C:\\...\\dbhawk-mcp-plugin\\dbhawk\\mcp-server\\dist\\dbhawk-mcp.mjs"], "env": { "DBHAWK_BASE_URL": "https://demo.dbhawk.example.com", "DBHAWK_TOKEN": "PASTE_MCP_TOKEN_HERE", "DBHAWK_DEFAULT_DATASOURCE": "" } } } }
Restart Claude Desktop fully (including the tray icon).
The server needs three values (the token owner needs ACCESS_TO_DATA):
| Setting | Required | Meaning |
|---|---|---|
Base URL (DBHAWK_BASE_URL) | yes | Base URL of DBHawk, e.g. https://demo.dbhawk.example.com (no trailing /api) |
API Token (DBHAWK_TOKEN) | no | Empty: sign in through the browser on first use (DBHawk 7.0.1+). Otherwise an MCP-scoped personal token (dbh_…): DBHawk → User Profile → API Token. Exchanged for a JWT at runtime — paste the personal token as-is, not a JWT |
Default Datasource (DBHAWK_DEFAULT_DATASOURCE) | no | Datasource used when a tool call omits datasource |
The plugin declares these as userConfig fields in dbhawk/.claude-plugin/plugin.json, so Claude Code prompts for them when you enable the plugin — the token field is sensitive, so it's masked on entry and stored in secure storage (OS keychain / ~/.claude/.credentials.json), never in settings.json or git. dbhawk/.mcp.json wires them in via ${user_config.dbhawk_token} etc.
To re-enter or change them later, re-enable the plugin, or set them non-interactively:
claude plugin install dbhawk@dbhawk-marketplace \
--config dbhawk_base_url=https://demo.dbhawk.example.com \ --config dbhawk_token=dbh_... \ --config dbhawk_default_datasource=
Desktop doesn't understand plugins or userConfig — pass the three values as env in the claude_desktop_config.json block shown above.
| Tool | DBHawk endpoint |
|---|---|
list_datasources | GET /datasources |
get_datasource | GET /datasources/{ds} |
list_catalogs | GET /datasources/{ds}/catalogs (MSSQL / Snowflake; empty for DBs with no catalog level) |
list_schemas | GET /datasources/{ds}/schemas |
list_objects | GET /datasources/{ds}/schemas/{schema}/objects |
list_columns | GET /datasources/{ds}/schemas/{schema}/objects/{object}/columns |
get_permissions | GET /permissions (the user's MCP tier(s), allowed operations, row cap, confirmations) |
run_query | POST /datasources/{ds}/query with readOnly: true (reads only, even if the tier allows writes; row-capped 200/5000) |
explain_plan | POST /datasources/{ds}/explain (execution plan built and read on one connection; the statement is never executed; needs explain_plan in the tier) |
list_sessions | GET /datasources/{ds}/sessions (active database sessions; needs active_sessions) |
kill_session | POST /datasources/{ds}/sessions/{id}/kill (ends one listed session; destructive, confirm flow; needs kill_session) |
execute_statement | POST /datasources/{ds}/query (data / schema change, only if the MCP tier allows it; confirm flow) |
text_to_sql | POST /datasources/{ds}/ai/ask |
optimize_sql | POST /datasources/{ds}/ai/optimize |
format_sql | POST /format-query |
list_jobs | GET /jobs (your own scheduled jobs; needs view_jobs) |
get_job | GET /jobs/{id} (SQL, schedule, output, delivery; needs view_jobs) |
list_job_executions | GET /jobs/{id}/executions (latest runs with the end of their logs; needs view_jobs) |
explain_cron | POST /jobs/cron/explain (validates and describes a Quartz cron expression) |
create_job | POST /jobs (export job of ONE statement, results to your File Manager or by e-mail - delivery, emailTo, recipients in DBHawk's Allowed Domains; needs manage_jobs + the statement's operations; confirm flow, always when it e-mails anyone but you) |
update_job | PUT /jobs/{id} (fields left out keep their value; delivery switches between File Manager and e-mail; confirm flow) |
delete_job | POST /jobs/{id}/delete (confirm flow; needs manage_jobs) |
pause_job / resume_job | POST /jobs/{id}/pause · /resume (resume re-checks the job's SQL against the tier; confirm flow) |
run_job / interrupt_job | POST /jobs/{id}/run · /interrupt (needs run_jobs; run re-checks the job's SQL; confirm flow) |
The job tools need a DBHawk server with the MCP job scheduler (migration 87 adds view_jobs, manage_jobs and run_jobs, granted to the *Destructive / admin* tier only) and the Job Scheduler license.
The job tools are interactive where the client allows it, but always in plain text:
ui://dbhawk/jobs resource, and no tool carries _meta.ui.resourceUri. A client that shows MCP Apps is asked in a form like any other. To bring it back, uncomment the marked blocks in mcp-server/index.js.create_job asks you for whatever the model left out (datasource, name, SQL, schedule, format, delivery). The schedule and the output are never taken from the model unseen: when it brings a valid cron, a format and a delivery, you get one question instead ("Schedule ... Result ... Delivery ... Is that right?"), and clearing the box opens the whole form on what it proposed. update_job with only a job id opens the job in a form, and a call your MCP tier wants confirmed asks you in a form. Declining changes nothing.create_job is filled in with you in the chat, one question at a time - DBHawk answers with the next question (datasource, name, SQL, schedule, format, delivery) instead of an error, and the assistant puts it to you and calls the tool again with your answer. Each is asked only where the model has not been told it; the schedule, the format and the delivery are never taken from it unseen - where it has all three, they go to you as one question ("Is that right?"), and if you want one of them changed the assistant calls again without it and DBHawk asks you for it. A cron DBHawk cannot read is asked again with the reason, and the confirmation your tier wants is still asked before anything is created.mcp-server/ui/jobs.html stays in the repository (a copy of DBHawk's own src/main/resources/mcp/ui/jobs.html) but is no longer bundled or served.
What a user may do is set in DBHawk, per user group, by its MCP tier (Admin → MCP Management → MCP Tiers). The default tier is read-only; higher tiers add EXPLAIN, DML (INSERT / UPDATE / DELETE / MERGE), DDL and admin operations. get_permissions tells the model what its tier allows.
Reads and writes are separate tools on purpose. run_query is annotated read-only (readOnlyHint), and DBHawk refuses a write sent through it even when the tier allows one. execute_statement is annotated destructive (destructiveHint), so MCP clients such as Claude ask the user before each call - keep it that way, do not "always allow" it. When the tier also asks for confirmation, DBHawk answers the first call with `{ confirmationRequir
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