DefectDojo Community

Name: DefectDojo Community
Author: systechgd

by systechgdversion 0.1.1i★ –iRuns on your computer

Registry nameio.github.systechgd/defectdojo-community-mcp

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiEarly↓ 559/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other
You need to fill in: DEFECTDOJO_URL, DEFECTDOJO_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: DEFECTDOJO_URL, DEFECTDOJO_API_KEY, DEFECTDOJO_VERIFY_TLS, DEFECTDOJO_TIMEOUT_SECONDS

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
      }
    }
  }
}

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

DEFECTDOJO_URL required env
Base URL of your DefectDojo instance, e.g. https://defectdojo.example.com (no trailing /api/v2).
DEFECTDOJO_API_KEY secret required 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.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account systechgd, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 18609 servers in this category
Published to the registry more recently than 92% of the other 18609 servers in this category
Basic checks equal to or better than 100% of the other 18609 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is DefectDojo Community safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: DEFECTDOJO_URL, DEFECTDOJO_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 3 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv), Docker on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, dsh-novel-writer — 网文写作体检

Alternatives

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Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs in the cloud✓ desktopcommander.app

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Offline 21-tool Chinese web-novel style, plot and continuity audits, plus per-book cleanup.

by siweinaEarly↓ 1.4K/wkUpdated today

Runs on your computer

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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
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.

Tools

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.

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.

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

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.

DefectDojo Community

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

dsh-novel-writer — 网文写作体检

README from the maker

DefectDojo Community MCP Server

Do you actually need this?

Tools

Install

Configure

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

Connect an MCP client

Claude Code

Claude Desktop / generic JSON config

Docker

Example

Safety model

Development

License