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mantishack MCP Server

deonmenezes/mantishack

Score: 52.8 Rank #14471 MCP Server
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Mantis Hack

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Overview

deonmenezes/mantishack is a Rust tool licensed under Apache-2.0. Mantis Hack Topics: agent-harness, ai-agents, autonomous-agents, bug-bounty, claude-code, mcp, security, mantis, offensive-security.

Ranked #14471 out of 24846 indexed tools.

Ecosystem

Rust Apache-2.0
agent-harnessai-agentsautonomous-agentsbug-bountyclaude-codemcpsecuritymantisoffensive-security

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 503

503 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 0%

0/109 issues closed → many open issues

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 75
Description Brief
License Apache-2.0

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

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Freshness high impact

Last commit was 39 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 109 open vs 0 closed issues — triaging stale issues improves health

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AgentRank score for deonmenezes/mantishack
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Matched Queries

topic:mcp

From the README

<div align="center">

# Mantishack

`stalk - wait - strike - hold`
**Ethically hack and discover vulnerabilities in any software with the power of AI.**

[mantishack.com](https://mantishack.com)

</div>

---

## What is Mantishack?

Mantishack is Mantis AI: an autonomous vulnerability-discovery agent built on top of [OpenAI's Codex CLI](https://github.com/openai/codex) (Rust, Apache-2.0), rebranded and wired end-to-end as an offensive-AppSec harness. It runs a staged detect-then-validate pipeline over a codebase - recon, detect, reachability, attacker-simulation validation, chaining, gated exploitation, fixing, and reporting - with every finding owned by a tool, not tracked in prose.

The core bet is the same one this project has always made: **detection is commodity, validation precision is the product.** What survives attacker-simulation is real; everything else gets rejected with a cited roadblock.

It is not polished software. It is a working harness with real gaps (see "Project hi
Read full README on GitHub →

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