snyk/agent-scan

Score: 54.5 Rank #190

Security scanner for AI agents, MCP servers and agent skills.

Overview

snyk/agent-scan is a Python MCP server licensed under Apache-2.0. Security scanner for AI agents, MCP servers and agent skills. Topics: agent, ai, mcp, modelcontextprotocol, security.

Ranked #190 out of 25632 indexed tools.

In the top 1% of all indexed tools.

Has 1,864 GitHub stars.

Has 11 contributors.

Actively maintained with commits in the last week.

Ecosystem

Python Apache-2.0

agentaimcpmodelcontextprotocolsecurity

Signal Breakdown

Stars 1,864

Freshness 3d ago

Issue Health 58%

Contributors 11

Dependents 0

Forks 187

Description Good

License Apache-2.0

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge

Markdown

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Details

Stars: 1,864
Forks: 187
Open Issues: 21
Closed Issues: 29
Contributors: 11
Dependents: —
Language: Python
License: Apache-2.0
Last Commit: 3d ago

Matched Queries

"mcp server""mcp-server"

From the README

<p align="center">
  <h1 align="center">
  Snyk Agent Scan
  </h1>
</p>

<p align="center">
  Discover and scan agent components on your machine for prompt injections<br/>
  and vulnerabilities (including agents, MCP servers, skills).
</p>

> **NEW** Read our [technical report on the emerging threats of the agent skill eco-system](.github/reports/skills-report.pdf) published together with Agent Scan 0.4, which adds support for scanning agent skills.

<p align="center">
  <a href="https://pypi.python.org/pypi/snyk-agent-scan"></a>
  <a href="https://pypi.python.org/pypi/snyk-agent-scan"></a>
  <a href="https://pypi.python.org/pypi/snyk-agent-scan"></a>
</p>

<div align="center">
  
</div>

<br>

Agent Scan helps you keep an inventory of all your installed agent components (harnesses, MCP servers, skills) and scans them for common threats like prompt injections, sensitive data handling, or malware payloads hidden in natural language.

## Highlights

- Auto-discover MCP configurations, ag

Read full README on GitHub →

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