Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Read-only MCP server for DefectDojo Community Edition: triage findings, grouped across products.
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。
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
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。
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。
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。
DEFECTDOJO_VERIFY_TLS envDEFECTDOJO_TIMEOUT_SECONDS 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9日
注册名称已通过 GitHub 账户 systechgd 验证,该账户拥有此仓库
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:DEFECTDOJO_URL, DEFECTDOJO_API_KEY
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(0.1.1)于3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 Python (uv), Docker。
同一分类中有:Spec Driven Development, Remote Desktop Commander, CloudGPU MCP
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Rent a per-minute GPU from your MCP client, run a job, download results, shut it down.
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。
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.
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 | |
|---|---|---|
| Edition | Pro only — AI features are Pro-only | Community Edition (works with Pro too) |
| Requires | DefectDojo v2.51.2+, enabled by a superuser | Any version with API v2 |
| Runs | Inside your instance, at /mcp | On your machine, as a local MCP process |
| Transport | Streamable HTTP | stdio |
| Tools | 18 in the read-only core toolset | 7 |
| Writes | None 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.
| Tool | What it does |
|---|---|
health_check | Verify connectivity and auth; returns the instance URL and product count |
list_products | Every product, with its findings count |
list_critical_findings | Actionable criticals, optionally scoped to one product |
list_findings_by_severity | The same, for any severity |
group_critical_by_vuln | The useful one. Groups criticals across all products by CVE (else CWE+title), widest blast radius first |
list_duplicate_findings | Findings DefectDojo marked as duplicates |
get_finding | Full 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.
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 .
Two environment variables are required.
| Variable | Required | Default | Notes |
|---|---|---|---|
DEFECTDOJO_URL | yes | — | Base URL, e.g. https://defectdojo.example.com. No trailing /api/v2. |
DEFECTDOJO_API_KEY | yes | — | API v2 token. See below for scoping it down. |
DEFECTDOJO_VERIFY_TLS | no | true | false disables certificate verification. See SECURITY.md. |
DEFECTDOJO_TIMEOUT_SECONDS | no | 30 | Per-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
claude mcp add defectdojo \
--env DEFECTDOJO_URL=https://defectdojo.example.com \ --env DEFECTDOJO_API_KEY=your-token \ -- defectdojo-community-mcp
{
"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"].
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" ] } } }
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.
Read-only is a design invariant, not a default.
POST, PUT, PATCH or DELETE.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.
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.
Apache-2.0. See NOTICE.