原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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DefectDojo Community

作者:systechgd版本 0.1.1i★ –i在你的电脑上运行
注册名称io.github.systechgd/defectdojo-community-mcp

安装

概览

作者提供的说明(英文原文)

Read-only MCP server for DefectDojo Community Edition: triage findings, grouped across products.

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: 其他
  • 你需要填写:DEFECTDOJO_URL, DEFECTDOJO_API_KEY

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: DEFECTDOJO_URL, DEFECTDOJO_API_KEY, DEFECTDOJO_VERIFY_TLS, DEFECTDOJO_TIMEOUT_SECONDS

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

  • PyPI已安装 Python 的 uv(用于 uvx 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": {
    "defectdojo-community": {
      "command": "uvx",
      "args": [
        "defectdojo-community-mcp"
      ],
      "env": {
        "DEFECTDOJO_URL": "your-value",
        "DEFECTDOJO_API_KEY": "your-value",
        "DEFECTDOJO_VERIFY_TLS": "your-value",
        "DEFECTDOJO_TIMEOUT_SECONDS": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add defectdojo-community --env DEFECTDOJO_URL=your-value --env DEFECTDOJO_API_KEY=your-value --env DEFECTDOJO_VERIFY_TLS=your-value --env DEFECTDOJO_TIMEOUT_SECONDS=your-value -- uvx defectdojo-community-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": {
    "defectdojo-community": {
      "command": "uvx",
      "args": [
        "defectdojo-community-mcp"
      ],
      "env": {
        "DEFECTDOJO_URL": "your-value",
        "DEFECTDOJO_API_KEY": "your-value",
        "DEFECTDOJO_VERIFY_TLS": "your-value",
        "DEFECTDOJO_TIMEOUT_SECONDS": "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": {
    "defectdojo-community": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "defectdojo-community-mcp"
      ],
      "env": {
        "DEFECTDOJO_URL": "your-value",
        "DEFECTDOJO_API_KEY": "your-value",
        "DEFECTDOJO_VERIFY_TLS": "your-value",
        "DEFECTDOJO_TIMEOUT_SECONDS": "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

  • DEFECTDOJO_URL 必填 env
    Base URL of your DefectDojo instance, e.g. https://defectdojo.example.com (no trailing /api/v2).
  • DEFECTDOJO_API_KEY 机密 必填 env
    DefectDojo API v2 token. Use a dedicated read-only user: this server never needs write access.
  • DEFECTDOJO_VERIFY_TLS env
    Set to false to skip TLS certificate verification. Discouraged; see SECURITY.md.
  • DEFECTDOJO_TIMEOUT_SECONDS env
    Per-request HTTP timeout in seconds. Defaults to 30.

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9日

  • ✓ 通过

    作者与仓库一致

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

  • … 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“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 18630 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 18630 个服务器的 92% 更新
  • 基础检查结果等于或优于此分类中其他 18630 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

DefectDojo Community 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:DEFECTDOJO_URL, DEFECTDOJO_API_KEY

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(0.1.1)于3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 Python (uv), Docker。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, CloudGPU MCP

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:↓ 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

Spec Driven Development

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

作者:formulahendry起步阶段↓ 66/周★ 44014个月前更新

在你的电脑上运行

Remote Desktop Commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

作者:desktop-commander正在增长★ 2113天前更新

在云端运行✓ desktopcommander.app

CloudGPU MCP

Rent a per-minute GPU from your MCP client, run a job, download results, shut it down.

作者:mrhy7176起步阶段↓ 922/周今天更新

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。

DefectDojo Community MCP Server

A read-only Model Context Protocol server for DefectDojo Community Edition — so an AI assistant can read your vulnerability findings, group the same vulnerability across every product, and draft issues for whatever tracker you use.

Unofficial. This is an independent open-source project. It is not affiliated

with, endorsed by, or supported by DefectDojo Inc. or OWASP. "DefectDojo" is used

only to describe what this server connects to.


Do you actually need this?

If you run DefectDojo Pro, you probably don't. Pro has a built-in MCP server — use that instead; it is maintained by the vendor and more capable.

DefectDojo Pro (built-in)This project
EditionPro only — AI features are Pro-onlyCommunity Edition (works with Pro too)
RequiresDefectDojo v2.51.2+, enabled by a superuserAny version with API v2
RunsInside your instance, at /mcpOn your machine, as a local MCP process
TransportStreamable HTTPstdio
Tools18 in the read-only core toolset7
WritesNone in core; available in Pro add-on toolsets (hierarchy, reporting, dashboards, psirt)Never — see Safety model

This project exists because Community Edition has no MCP server at all. It talks to the ordinary REST API v2 with a normal API token, so it needs nothing enabled server-side and no particular DefectDojo version.

Not to be confused with the unrelated defectdojo-mcp

package on PyPI, which is a different third-party project. This one is

defectdojo-community-mcp.


Tools

ToolWhat it does
health_checkVerify connectivity and auth; returns the instance URL and product count
list_productsEvery product, with its findings count
list_critical_findingsActionable criticals, optionally scoped to one product
list_findings_by_severityThe same, for any severity
group_critical_by_vulnThe useful one. Groups criticals across all products by CVE (else CWE+title), widest blast radius first
list_duplicate_findingsFindings DefectDojo marked as duplicates
get_findingFull detail for one finding

"Actionable" means active and not false-positive, duplicate, risk-accepted, out-of-scope or mitigated — the set actually worth someone's time.

group_critical_by_vuln is the reason this exists. A monorepo-shaped scanner setup reports the same upstream CVE once per product; this collapses them into one group per vulnerability listing every affected product, which maps cleanly onto one tracker issue.


Install

Requires Python 3.10+.

pip install defectdojo-community-mcp

Or as a container:

docker pull ghcr.io/systechgd/defectdojo-community-mcp:latest

Listed on the MCP Registry as io.github.systechgd/defectdojo-community-mcp, so MCP clients that read the registry can install it by name.

Or from source:

git clone https://github.com/systechgd/defectdojo-community-mcp.git

cd defectdojo-community-mcp pip install -e .


Configure

Two environment variables are required.

VariableRequiredDefaultNotes
DEFECTDOJO_URLyes—Base URL, e.g. https://defectdojo.example.com. No trailing /api/v2.
DEFECTDOJO_API_KEYyes—API v2 token. See below for scoping it down.
DEFECTDOJO_VERIFY_TLSnotruefalse disables certificate verification. See SECURITY.md.
DEFECTDOJO_TIMEOUT_SECONDSno30Per-request HTTP timeout.

Get a token from DefectDojo → your user → API v2 Key.

Create a dedicated read-only user for it. The token inherits that user's permissions, and nothing in this server needs write access. If the token leaks, a read-only one cannot be used to alter your findings.

Check it works before wiring up a client:

defectdojo-community-mcp --check

ok: https://defectdojo.example.com reachable, 23 product(s) visible


Connect an MCP client

Claude Code
claude mcp add defectdojo \

--env DEFECTDOJO_URL=https://defectdojo.example.com \ --env DEFECTDOJO_API_KEY=your-token \ -- defectdojo-community-mcp

Claude Desktop / generic JSON config
{

"mcpServers": { "defectdojo": { "command": "defectdojo-community-mcp", "env": { "DEFECTDOJO_URL": "https://defectdojo.example.com", "DEFECTDOJO_API_KEY": "your-token" } } } }

If the console script is not on your PATH, use "command": "python", "args": ["-m", "defectdojo_community_mcp"].

Docker

The server speaks MCP over stdio, so run it attached (-i), not detached:

{

"mcpServers": { "defectdojo": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "DEFECTDOJO_URL", "-e", "DEFECTDOJO_API_KEY", "ghcr.io/systechgd/defectdojo-community-mcp:latest" ] } } }


Example

Group every critical finding by vulnerability and show me the ones affecting

more than three services.

The assistant calls group_critical_by_vuln and gets back, per vulnerability, the CVE, title, affected product list and a direct DefectDojo URL per finding — enough to write one issue covering all of them, instead of twelve near-identical ones.


Safety model

Read-only is a design invariant, not a default.

  • No tool issues a POST, PUT, PATCH or DELETE.
  • The HTTP client class exposes no method capable of doing so, so a mutating tool cannot be added by accident — only by deliberately changing that class.
  • A test asserts that every request made by every tool is a GET.

Adding write support would be a breaking change to this guarantee. If it ever happens it will be a separate server, so operators can keep granting read without granting write.

Findings data is attacker-influenced — scanner output can contain text from dependency metadata, file paths and commit messages. Treat tool results as data, never as instructions. See SECURITY.md for the full threat model and how to report a vulnerability.


Development

git clone https://github.com/systechgd/defectdojo-community-mcp.git

cd defectdojo-community-mcp python -m venv .venv && . .venv/bin/activate # Windows: .venv\Scripts\activate pip install -e ".[dev]"

pytest # 57 tests, no network or live instance needed ruff check .

The test suite runs entirely against httpx.MockTransport. CI additionally runs the suite on Python 3.10–3.13 and against both MCP SDK generations (mcp<2, which has FastMCP, and mcp>=2, which renamed it to MCPServer).

See CONTRIBUTING.md and CODE_OF_CONDUCT.md.


License

Apache-2.0. See NOTICE.

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