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agent-scan MCP Server

snyk/agent-scan

Score: 91.1 ↑ 11.9% Rank #275 MCP Server
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Security scanner for AI agents, MCP servers and agent skills.

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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 #275 out of 24846 indexed tools.

In the top 2% of all indexed tools.

Has 3,132 GitHub stars.

Has 22 contributors.

Ecosystem

Python Apache-2.0
agentaimcpmodelcontextprotocolsecurity

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 3,132

3,132 stars → well-known project

Freshness 25% 18d ago

Last commit 18d ago → recently updated

Issue Health 25% 77%

67/87 issues closed → decent issue management

Contributors 10% 22

22 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 288
Description Good
License Apache-2.0

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

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Matched Queries

"mcp server""mcp-server"topic:mcp

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>

> **Note:** We don't publish an npm package for Agent Scan. Install it via [`uvx`](#run-with-uvx) or as a [standalone binary](#run-with-a-standalone-binary).

> **Note: CLI output is experimental and subject to change**
>
> **Agent Scan v0.5.x (planned for deprecation)**
>
> The raw output of this CLI — including issue codes, field names, severity labels, and response structure — is experimental and may change without notice between releases. We do not recommend building production workflows that depend on specific CLI output fields or issue codes.
>
> **Agent Scan v0.6 and later**
>
> The raw output of this CLI — including risk indicator names, scores, field names, and response structure — is experimental and may change without notice between relea
Read full README on GitHub →

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