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MCPDBWizard

作者:srmadscience版本 2.0.38i★ 1i在你的电脑上运行
注册名称io.github.srmadscience/mcpdbwizard

安装方法

What it does

An Oracle MCP server built from the PL/SQL, tables and statements you select. No run-sql tool

  • Connects 在你的电脑上运行
  • Account or key No key needed
  • Category 数据库与数据集

安装

选择你使用的 AI 应用,然后复制设置。

通过 3/3 项检查 · 在你的电脑上运行

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude,但需要先准备

需要先在电脑上安装 Docker(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

  1. 安装 Docker

    只需一次,所有需要 Docker 的服务器都能用

    打开 Docker 下载页 ↗

  2. 打开电脑版 Claude 应用的设置文件

    SettingsDeveloperEdit Config

  3. 粘贴这些设置并保存文件

    正在检查命令 · 通过后才会显示复制按钮

  4. 退出 Claude 再重新打开

  5. 试一试

    用 MCPDBWizard 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 MCPDBWizard,或回答中出现 MCPDBWizard 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

ChatGPT 暂时无法连接 MCPDBWizard

MCPDBWizard 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器

你可以改用这些方式

A · 使用能连接 MCPDBWizard 的应用

  • 需要先在电脑上安装 Docker(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
  • 需要先在电脑上安装 Docker(只需一次)
  • 需要先在电脑上安装 Docker(只需一次)
  • 需要先在电脑上安装 Docker(只需一次)

B · 数据库与数据集 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

可连接 Claude Code,但需要先准备

需要先在电脑上安装 Docker(只需一次)

  1. 安装 Docker

    只需一次,所有需要 Docker 的服务器都能用

    打开 Docker 下载页 ↗

  2. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  3. 粘贴这条命令并按 Enter

    正在检查命令 · 通过后才会显示复制按钮

  4. 在 Claude Code 中输入 /mcp

    应能看到 MCPDBWizard 在列表中并显示已连接

  5. 试一试

    用 MCPDBWizard 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 MCPDBWizard,或回答中出现 MCPDBWizard 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor,但需要先准备

需要先在电脑上安装 Docker(只需一次)

  1. 安装 Docker

    只需一次,所有需要 Docker 的服务器都能用

    打开 Docker 下载页 ↗

  2. 点击这个按钮打开 Cursor

    正在检查命令 · 通过后才会显示复制按钮

  3. 在 Cursor 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 MCPDBWizard 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 MCPDBWizard,或回答中出现 MCPDBWizard 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code,但需要先准备

需要先在电脑上安装 Docker(只需一次)

  1. 安装 Docker

    只需一次,所有需要 Docker 的服务器都能用

    打开 Docker 下载页 ↗

  2. 点击这个按钮打开 VS Code

    正在检查命令 · 通过后才会显示复制按钮

  3. 在 VS Code 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 MCPDBWizard 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 MCPDBWizard,或回答中出现 MCPDBWizard 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 MCPDBWizard 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

安装在电脑上

Claude Code

正在检查命令 · 通过后才会显示复制按钮

Claude Desktop (claude_desktop_config.json)

正在检查命令 · 通过后才会显示复制按钮

Cursor (~/.cursor/mcp.json)

正在检查命令 · 通过后才会显示复制按钮

VS Code (mcp.json)

正在检查命令 · 通过后才会显示复制按钮

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。

一览

每周下载量i
不在 npm/PyPI 上
许可证i
Apache-2.0
连接方式
在你的电脑上运行
传输方式
streamable-http
最新版本i
2.0.38
发布到注册中心i
2026年11月13日
代码最后更新i
2026年11月13日
作者
srmadscience
软件包
oci: ghcr.io/srmadscience/mcpdbwizard:2.0.38
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

在你的电脑上运行,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

全部应用及其优缺点 →

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13日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 srmadscience 验证,该账户拥有此仓库

  • ✓ 通过

    仍在维护

    代码最后更新于今天

  • ✓ 通过

    有许可证

    使用 Apache-2.0

  • – 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

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

使用 Google 登录后发帖

用户评价

还没有评价

用 Google 登录后写评价

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 1186 个服务器的 79%
  • 发布到注册中心的时间比此分类中其他 1186 个服务器的 99% 更新
  • 基础检查结果等于或优于此分类中其他 1186 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

MCPDBWizard 安全吗?

它在 3 项适用的基础检查中通过了 3 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?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

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 仓库最后更新于今天,最新版本(2.0.38)于今天进入注册中心。

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 Docker。

有什么可以替代它?

同一分类中有:Dbx, MCP Toolbox for Databases, MCP Toolbox for Databases

同类别的其他选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ 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

Dbx

Query databases from AI agents using connections configured in DBX.

作者:t8y2广泛使用↓ 9446/周★ 3万6个月前更新

在你的电脑上运行

MCP Toolbox for Databases

MCP Toolbox for Databases enables your agent to connect to your database.

作者:googleapis广泛使用★ 1.7万今天更新

在你的电脑上运行

MCP Toolbox for Databases

MCP Toolbox for Databases enables your agent to connect to your database.

作者:googleapis广泛使用★ 1.7万8个月前更新

在你的电脑上运行

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。

MCPDBWizard

An MCP server for Oracle, built from the objects you choose. Tick the PL/SQL packages, tables, sequences and your own tested SQL statements in a console, and it generates a Model Context Protocol server exposing exactly those to an AI agent as typed tools — each carrying a JSON Schema derived from the procedure's real signature.

There is no `run-sql` tool. Anything you did not select has no tool, no method and no class: it is absent from the binary rather than refused at run time. Nothing composes a query at run time either — the generated code is ordinary Java with fixed SQL statements and typed binds, and the MCP server calls those wrappers rather than writing SQL for a model to run.

Generating that server means generating the whole calling layer, so you get it too: typed DAO factories, callable-statement wrappers, table managers and an optional SOAP layer. They are useful on their own, but the MCP server is the point.

Supports Oracle 12c through 26ai, and is regression-tested against six live instances spanning that range.

*How the full product fits together. This repository is the generator — the config file, generate & compile, and the generated MCP server. The Design pages, Runtime page and proxy are the web console in the Docker image; here you select objects with the Swing tool or a config file instead, and the generated server can be run on its own.*


The part that is hard

The usual way round is to hand the agent a run-sql tool, and it works until the schema is real: published text‑to‑SQL accuracy falls sharply on enterprise‑scale schemas compared with tidy benchmarks, and a wrong UPDATE is not a wrong answer, it is an incident.

The alternative is curated tools — but writing one per procedure by hand does not scale past a few, and PL/SQL is unusually hostile to deriving them automatically:

  • a procedure can have any number of OUT and IN OUT parameters, not a single return value
  • parameters can be records (including records nested inside records), collections, `%ROWTYPE`s, REF CURSORs, package types, and overloads
  • Oracle's own data dictionary describes these differently between versions

This project does that derivation. Every generated MCP tool carries a real JSON Schema built from the procedure's actual signature, so the agent is *told* what the parameters are rather than inferring them from prose.

oracle:  PROCEDURE order_summary(p_customer IN  NUMBER,

p_totals OUT summary_rec, p_lines OUT SYS_REFCURSOR)

tool: order_summary { "p_customer": } -> { "p_totals": { "orderCount": 12, "value": 4210.55 }, "p_lines": [ { "sku": "AB-1", "qty": 3 }, ... ] }

A record crosses as a JSON object, a REF CURSOR as an array of row objects, a DATE as an ISO‑8601 string, RAW and binary vectors as base64, CLOB as text, BLOB as base64.


Quick start

Requires Java 21 and Maven. The Oracle JDBC driver (com.oracle.database.jdbc:ojdbc11) comes from Maven Central — nothing to install by hand.

mvn clean package

That produces two jars in target/: a plain one, and a self‑contained mcpdbwizard-app- -shaded.jar with the driver bundled.

# Interactive (Swing) -- pick objects and options, save a config

java -jar target/mcpdbwizard-app-*-shaded.jar myconfig.pb2

Batch -- regenerate from a saved config

java -jar target/mcpdbwizard-app-*-shaded.jar build myconfig.pb2

is created if missing.

Changed in 2026-08: there used to be a leading argument. It has been

removed, and a command line that still passes one will be read as the log directory.

It was validated for shape only — ≥19 characters, not a path, not the literal build —

and then ignored, so it authenticated nothing. Drop it from any script that supplies it.

Configs are .pb2 (a flat properties file) or .json; both are accepted, and convert losslessly either way:

java -cp target/mcpdbwizard-app-*-shaded.jar \

com.mcpdbwizard.schema.ConfigConverter myconfig.pb2 myconfig.json


What gets generated

DAO factoryone entry point per config, wiring connections and logging
PL/SQL wrappersa class per procedure/function — setParamX, executeProc, getParamY
Table managersrow CRUD by primary key, plus unique‑key, index and foreign‑key‑child lookups
SQL statement classesyour own SQL, with typed bind parameters
SOAP service layeroptional
JSON / JSON‑RPC connectorsoptional
MCP serveroptional (needs Java 17+ for the MCP SDK)

Generated code depends only on com.mcpdbwizard.pub, the runtime library in this repository.

The MCP server

A single generated McpServer.java, speaking stdio by default or Streamable HTTP when started with http [port]. Optional bearer‑token auth and TLS both read their secrets from the environment at run time and fail closed if unset, so no secret is baked into the generated source.

It exposes PL/SQL routines, table row CRUD and secondary lookups, user SQL statements, sequences, and — on 23ai — JSON‑relational duality views with document CRUD and etag optimistic locking.

What is exposed is decided when you generate, not at run time. An object you did not select has no code generated for it at all, and TABLE_MCP_CRUD_ narrows a table to any subset of create/read/update/delete. An operation that is not exposed has no tool method emitted — it is absent from the binary, not merely unregistered.


Oracle datatype support

Beyond the ordinary scalars and LOBs: 12c identity columns and extended VARCHAR2/RAW; 21c native JSON; 23ai native BOOLEAN, VECTOR (dense, binary and sparse), and JSON‑relational duality views.

Known gaps: TIMESTAMP WITH [LOCAL] TIME ZONE and BFILE cross as procedure parameters but not yet as table columns; SDO_GEOMETRY has no JSON mapping, so a routine using one is skipped; FLOAT16 vectors are blocked server‑side.


Logging

Generated factories pick a LogInterface implementation from the config: console, text file, java.util.logging, Log4j 1.x, SLF4J, or Log4j 2. The SLF4J and Log4j 2 backends live in com.mcpdbwizard.pub and depend only on the facade jar, which is an optional dependency — supply the api plus a binding yourself if you use them.


Tests

The database‑free suite needs nothing and is green on a fresh clone:

mvn test

Tests that need Oracle are gated: with no database reachable they *skip* rather than fail. To point them at your own instance, copy the templates — the real files are gitignored and never leave your machine:

cp src/test/resources/test-boxes.properties.template src/test/resources/test-boxes.properties

cp Scripts/tns/tnsnames.ora.template Scripts/tns/tnsnames.ora cp Scripts/boxes.env.template Scripts/boxes.env

Per setting, an environment variable (MCPDBWIZARD_TEST_HOST, …) always wins over the file, which is how a run selects one server over another.

A third tier links against generator output: Scripts/testrun_current.sh regenerates code from a set of configs and compiles it, and a family of harnesses then drives that code against a live database.

That tier is not part of this repository, and neither are the schemas it needs. The configs introspect Oracle schemas whose structure is not ours to publish — some of it came from customer work years ago — and a config *enumerates* the schema it points at, so the configs cannot ship either. The harnesses go with them: they name those schemas' tables and routines, and they only compile against a regenerated tree that cannot exist here.

What that costs you: nothing to run the generator, and nothing to run the suite. The database-free tests are complete and green on a fresh clone; the gated live tests skip. What you do not get is a ready-made corpus to regenerate against. Scripts/check_provisioning.sh stays, and will name the exact objects a config expects, which is the place to start if you build your own.

examples/generated-output/ shows what the generator emits, with no database at all.


Repository layout

PathWhat
src/main/java/com/mcpdbwizard/pubruntime library the generated code links against
src/main/java/com/mcpdbwizard/appthe generator — engine, Swing UI, shared helpers
src/main/java/com/mcpdbwizard/schematyped model of a config; .pb2 ↔ .json
src/main/java/com/mcpdbwizard/mcpdbwizardconnectorJSON / JSON‑RPC connector generator
examples/generated-outputa checked‑in example of generator output, regenerated 2026‑08‑07
Scripts/regeneration, provisioning checks, and the export gate
API docsgenerated javadoc for com.mcpdbwizard.pub, the library you link against

Contributor notes — architecture, conventions and accumulated gotchas — are in CLAUDE.md.


API documentation

[API docs for `com.mcpdbwizard.pub`](https://srmadscience.github.io/mcpdbwizard-open/)

That is the runtime library generated code links against, and the only package documented — the generator's own internals are implementation, and publishing them would bury the part you call. The package summary explains what to reach for, and carries the compatibility contract: signatures there are load-bearing for every program this generator has produced, so they gain methods and do not change them.

The same pages are on the project site at mcpdbwizard.com/javadoc. Both are regenerated from source on publish rather than copied from one another.

Locally, mvn javadoc:javadoc writes them to target/reports/apidocs/. It runs with failOnWarnings, so a broken @link fails the build rather than shipping a dead cross-reference.


Known issues

[Known issues](https://mcpdbwizard.com/docs/known-issues/) — what is wrong, what a caller actually sees when it bites, and the workaround for each. Most of them do not announce themselves: a record whose JSON keys are the generated field names rather than the column names, a VECTOR routine parameter that takes a dense array only, a config whose tool count outgrows Oracle's open_cursors.

Every open entry there is also an issue in this repository, linked from the page. Read it before filing — and if one of them is biting you, say so on its issue rather than opening a new one. Three of those entries are documented rather than fixed *because nobody has asked*, so a comment is the whole difference between "nobody has ever needed this" and "somebody does".


Contributing

See CONTRIBUTING.md. One thing to run before opening a pull request:

Scripts/export/check-export-clean.sh

It fails if a private hostname, a credential or a jar has crept into the tree.

Security

Please report a suspected vulnerability privately, not in a public issue — see SECURITY.md.

Licence

Apache License 2.0 — see LICENSE and NOTICE.

Code this generator *emits* is your own work and carrie

只显示了开头部分;其余内容请在仓库中阅读