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Dbhawk

作者:Datasparc版本 0.4.2i★ –i在你的电脑上运行
注册名称com.datasparc/dbhawk

安装

概览

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.

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 数据库与数据集
  • 你需要填写:DBHAWK_BASE_URL, DBHAWK_TOKEN

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: 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

  • npm已安装 Node.js(用于 npx 命令)

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。

在 Cursor 中打开

或者自己复制设置

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。

在 VS Code 中打开

或者自己复制设置

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。

需要你填写的值

  • DBHAWK_BASE_URL 必填 env
    DBHawk base URL, e.g. https://dbhawk.example.com (no trailing /api)
  • DBHAWK_TOKEN 机密 必填 env
    MCP-scoped personal token (dbh_...) from DBHawk User Profile > API Token
  • DBHAWK_DEFAULT_DATASOURCE env
    Datasource used when a request doesn't name one

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。

它能做什么

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。

基础检查i

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

  • ✓ 通过

    作者与仓库一致

    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)

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    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“数据库与数据集”中的其他服务器比较i

  • 星标数多于此分类中其他 953 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 953 个服务器的 71% 更新
  • 基础检查结果等于或优于此分类中其他 953 个服务器的 100%

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。

常见问题

Dbhawk 安全吗?

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。

它需要哪些密钥或代码?

你需要填写:DBHAWK_BASE_URL, DBHAWK_TOKEN

它在我的电脑上运行还是在云端?

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)。

它还在维护吗?

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。

哪些应用可以使用它?

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。

有什么可以替代它?

同一分类中有:Supabase, MongoDB MCP Server, Elasticsearch MCP Server

替代选择

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

Supabase

作者:supabase

MCP server for interacting with the Supabase platform

电脑或云端★ 2,993Apache-2.0昨天更新
安装

MongoDB MCP Server

作者:mongodb-js

MongoDB Model Context Protocol Server

在你的电脑上运行★ 1,157Apache-2.0前天更新
安装

MCP server for interacting with Elasticsearch

在你的电脑上运行★ 315Apache-2.014个月前更新
安装

作者的 README

打开 README

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。

DBHawk MCP — Claude Code plugin + demo connector

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.


For users — install

Claude Code (from the marketplace)

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
Claude Desktop (extension, .mcpb) — recommended

Claude 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.

  1. Download dbhawk- .mcpb from the Releases page.
  2. In Claude Desktop: Settings → Extensions → Advanced settings → Install and pick the file (or just drag the .mcpb onto the Extensions window).
  3. Fill in the form — DBHawk Base URL, API Token (optional; masked, stored in your OS keychain - leave it empty to sign in through the browser instead), Default Datasource (optional) — and save.
  4. With no token, the first DBHawk tool call opens the DBHawk sign-in in your browser: sign in, click Allow, and repeat the request if Claude reported that it was waiting for the sign-in.

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.

Claude Desktop (manual config, advanced)

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).


Configure

The server needs three values (the token owner needs ACCESS_TO_DATA):

SettingRequiredMeaning
Base URL (DBHAWK_BASE_URL)yesBase URL of DBHawk, e.g. https://demo.dbhawk.example.com (no trailing /api)
API Token (DBHAWK_TOKEN)noEmpty: 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)noDatasource used when a tool call omits datasource
Claude Code — guided setup dialog (recommended)

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=

Claude Desktop — environment variables

Desktop doesn't understand plugins or userConfig — pass the three values as env in the claude_desktop_config.json block shown above.


Tools

ToolDBHawk endpoint
list_datasourcesGET /datasources
get_datasourceGET /datasources/{ds}
list_catalogsGET /datasources/{ds}/catalogs (MSSQL / Snowflake; empty for DBs with no catalog level)
list_schemasGET /datasources/{ds}/schemas
list_objectsGET /datasources/{ds}/schemas/{schema}/objects
list_columnsGET /datasources/{ds}/schemas/{schema}/objects/{object}/columns
get_permissionsGET /permissions (the user's MCP tier(s), allowed operations, row cap, confirmations)
run_queryPOST /datasources/{ds}/query with readOnly: true (reads only, even if the tier allows writes; row-capped 200/5000)
explain_planPOST /datasources/{ds}/explain (execution plan built and read on one connection; the statement is never executed; needs explain_plan in the tier)
list_sessionsGET /datasources/{ds}/sessions (active database sessions; needs active_sessions)
kill_sessionPOST /datasources/{ds}/sessions/{id}/kill (ends one listed session; destructive, confirm flow; needs kill_session)
execute_statementPOST /datasources/{ds}/query (data / schema change, only if the MCP tier allows it; confirm flow)
text_to_sqlPOST /datasources/{ds}/ai/ask
optimize_sqlPOST /datasources/{ds}/ai/optimize
format_sqlPOST /format-query
list_jobsGET /jobs (your own scheduled jobs; needs view_jobs)
get_jobGET /jobs/{id} (SQL, schedule, output, delivery; needs view_jobs)
list_job_executionsGET /jobs/{id}/executions (latest runs with the end of their logs; needs view_jobs)
explain_cronPOST /jobs/cron/explain (validates and describes a Quartz cron expression)
create_jobPOST /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_jobPUT /jobs/{id} (fields left out keep their value; delivery switches between File Manager and e-mail; confirm flow)
delete_jobPOST /jobs/{id}/delete (confirm flow; needs manage_jobs)
pause_job / resume_jobPOST /jobs/{id}/pause · /resume (resume re-checks the job's SQL against the tier; confirm flow)
run_job / interrupt_jobPOST /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:

  • Job screen (MCP Apps): off. The HTML screen is commented out - no 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.
  • Forms (clients that support MCP elicitation): 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.
  • Chat dialog (every other client): 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.

Reads, writes and MCP tiers

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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