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graygnatconsole/mcp-audit-tool

๐Ÿ›ก๏ธ Security audit CLI for Model Context Protocol (MCP) servers โ€” scan AI agent configs for tool poisoning, rug pulls, hardcoded secrets, command injection & supply-chain risks. Pure Python, SARIF + CI ready.

โ˜…108STARS
โ‘‚3FORKS
!0ISSUES
๐Ÿ†#13,130GLOBAL RANK
๐Ÿ”ฅ8DAYS TRENDING
๐Ÿš€
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Momentum

+10

STARS ยท LAST 30 DAYS

1

PER DAY

#1,643

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+2+3+10

mcp-audit-tool gained 10 stars in the last 30 days, about 1 a day, and now has 108. It is about 1 year old and has averaged roughly 108 stars a year. It ranks #1,643 among Python repositories and #13,130 across all languages on GitHubRepo.

Trending Record

mcp-audit-tool has maintained a continuous presence across global trending indexes, peaking at #887. Below is the 30-day activity profile:

๐Ÿ’ก Overview

mcp-audit-tool is an open-source project written in Python: ๐Ÿ›ก๏ธ Security audit CLI for Model Context Protocol (MCP) servers โ€” scan AI agent configs for tool poisoning, rug pulls, hardcoded secrets, command injection & supply-chain risks. Pure Python, SARIF + CI ready.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-security, agentic-ai, ai-security. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

โšก Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

๐Ÿ“ฅ Installation

terminal
$ pip install mcp-audit-tool

โš™ System Requirements

Platforms

  • โ€ข macOS
  • โ€ข Linux
  • โ€ข Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

๐Ÿง  How It Works

mcp-audit-tool coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

๐ŸŽฏ Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with mcp-audit-tool.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

๐Ÿš€ Getting Started

1

Install mcp-audit-tool using your package manager: `pip install mcp-audit-tool`

2

Initialize your project workspace or configuration file for mcp-audit-tool.

3

Import mcp-audit-tool into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `mcp-audit-tool --help` to verify successful setup.

๐Ÿ‘ Strengths

Active community backing with 109 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

โš ๏ธ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

โ‡„ Alternatives & Direct Competitors

๐Ÿ’ก
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๐Ÿ‘ฅ Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

๐Ÿ† Nearby in the Rankings

graygnatconsole/mcp-audit-tool is currently ranked #13,130 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#13,087 telmich/gpm C โ˜… 109 Compare โ†—
#13,087 apache/magpie Python โ˜… 109 Compare โ†—
#13,087 kveld9/kveld-morphe-patches Kotlin โ˜… 109 Compare โ†—
#13,087 boadij/pi-herdsman TypeScript โ˜… 109 Compare โ†—
#13,087 Vauth/FoxyVPN Kotlin โ˜… 109 Compare โ†—
#13,130 graygnatconsole/mcp-audit-tool This Project Python โ˜… 108
#13,130 ceyyy427/finathink Python โ˜… 108 Compare โ†—
#13,130 mekhontsev/magicdesk Java โ˜… 108 Compare โ†—
#13,130 devsy-org/devsy Go โ˜… 108 Compare โ†—
#13,130 thomas9120/LLama-GUI JavaScript โ˜… 108 Compare โ†—
#13,130 sulemaanhamza/wisp Swift โ˜… 108 Compare โ†—

Frequently Asked Questions

What does mcp-audit-tool do? +

๐Ÿ›ก๏ธ Security audit CLI for Model Context Protocol (MCP) servers โ€” scan AI agent configs for tool poisoning, rug pulls, hardcoded secrets, command injection & supply-chain risks. Pure Python, SARIF + CI ready.

What language is mcp-audit-tool written in? +

The primary language is Python. Topics include: agent-security, agentic-ai, ai-security, cursor, llm-guardrails.

Is mcp-audit-tool actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 0 open issues being tracked.

How many stars does mcp-audit-tool have? +

mcp-audit-tool has 108 stars and 3 forks on GitHub.

How does mcp-audit-tool rank among GitHub repositories? +

With 108 stars, graygnatconsole/mcp-audit-tool is ranked #13,130 globally across all repositories tracked on GitHubRepo and #1,643 among Python projects.

What license is mcp-audit-tool distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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