Is the pentest-ai MCP server actively maintained?

The pentest-ai MCP server was last committed 1mo ago and has 1 contributor. Issue health: 70% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

pentest-ai MCP Server

Name: 0xSteph/pentest-ai
Rating: 3.8 (1 reviews)
Author: 0xSteph

0xSteph/pentest-ai

Score: 70.3 ↓ 2.1% Rank #3987 MCP Server

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Open-source AI pentester that proves every finding. Machine oracles re-run each exploit; verified bugs ship a proof capsule you can replay yourself.

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Overview

0xSteph/pentest-ai is a Python tool licensed under MIT. Open-source AI pentester that proves every finding. Machine oracles re-run each exploit; verified bugs ship a proof capsule you can replay yourself. Topics: ai-security, bug-bounty, claude, ctf, cybersecurity, hacking-tools, mcp, model-context-protocol, offensive-security, penetration-testing, pentesting, python, red-team, security, vulnerability-scanner, ai-penetration-testing, ai-pentesting, appsec, devsecops, ethical-hacking.

Ranked #3987 out of 24846 indexed tools.

Has 1,734 GitHub stars.

Ecosystem

Python MIT 9 pypi/wk

ai-securitybug-bountyclaudectfcybersecurityhacking-toolsmcpmodel-context-protocoloffensive-securitypenetration-testingpentestingpythonred-teamsecurityvulnerability-scannerai-penetration-testingai-pentestingappsecdevsecopsethical-hacking

Score Breakdown

Stars 15% 1,734

1,734 stars → well-known project

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 70%

7/10 issues closed → decent issue management

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads 13% 9/wk

9 weekly installs → early adoption

Forks 319

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Freshness high impact

Last commit was 33 days ago — a recent commit would boost your freshness score

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

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Markdown

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Details

Stars: 1,734
Forks: 319
Open Issues: 3
Closed Issues: 7
Contributors: 1
Dependents: —
Language: Python
License: MIT
Last Commit: 1mo ago

Matched Queries

topic:mcptopic:model-context-protocol

From the README

[Website](https://pentestai.xyz/) · [Quick start](#quick-start) · [Verification](#how-verification-works) · [Documentation](https://github.com/0xSteph/pentest-ai/tree/main/docs) · [Issues](https://github.com/0xSteph/pentest-ai/issues)

Pentest-AI connects an AI client or model to a penetration-testing workflow. It investigates applications, records findings, and uses **machine oracles to check whether an exploit can be reproduced**. Verified findings carry evidence you can replay.

Use it through **MCP**, from the **CLI**, or in **CI**. The model helps drive the investigation; an oracle determines whether a finding earns a verified verdict.

> Test only systems you own or have explicit authorization to assess. Read the [acceptable-use policy](https://pentestai.xyz/aup) and [terms](https://pentestai.xyz/terms) before running an engagement.

## Quick start

### Recommended: Codex or Claude Code

Use Python **3.10–3.14** and install [pipx](https://pipx.pypa.io/stable/installation/)
first.

Read full README on GitHub →