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  1. Home
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  3. Security Scanner AI MCP
Security Scanner AI MCP logo
Health: Not checked yetWe have not completed a health check for this listing yet.Last checked 9/22/2026, 3:46:21 PM

Security Scanner AI MCP

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View RepositoryVisit Website
securityvulnerability-scanningdependency-scanningsastsbom

Runs dependency, header, secret, SAST, DAST, vulnerability, and SBOM checks through MCP over stdio.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for security-scanner-ai-mcp, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🔒 More in Security

Overview

The security-scanner-ai-mcp MCP server exposes security assessment workflows for dependency checks, header checks, secret scanning, SAST, DAST, vulnerability assessment, and SBOM analysis. It runs locally through the MCP stdio transport and can be installed from PyPI or launched with uvx. Reach for it when an MCP-compatible assistant needs to inspect application security signals as part of a development or compliance workflow.

Use cases

•Scan project dependencies for known issues
•Check application security headers
•Detect secrets in source material
•Assess software with SAST or DAST workflows
•Analyze an SBOM through an MCP client

Key features

•Dependency scanning
•Security header checks
•Secret scanning
•SAST and DAST support
•Vulnerability assessment
•SBOM analysis

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Security Scanner AI MCP.

Extracted Tool Capabilities
Dependency scanning
Security header checks
Secret scanning
SAST and DAST support
Vulnerability assessment
SBOM analysis

How Security Scanner AI MCP works

What security-scanner-ai-mcp MCP server does

The security-scanner-ai-mcp MCP server provides an MCP interface for several application and software supply-chain security activities. The README describes support for vulnerability assessment, static application security testing (SAST), dynamic application security testing (DAST), dependency checking, and software bill of materials (SBOM) analysis.

The documented examples identify three tools by name: scan_dependencies, check_headers, and scan_secrets. These tools cover dependency scanning, HTTP header checks, and secret detection. The README does not provide detailed input schemas, output formats, supported languages, or scanner engines, so those details should be confirmed in the linked API reference before building an automated workflow around them.

How it works

The security-scanner-ai-mcp MCP server is configured as a local process using the stdio transport. An MCP client starts the server and communicates with it over standard input and output. After configuration, a user can ask an assistant to invoke a named tool, such as requesting a dependency scan or a header check.

This model suits development environments where the source, dependency files, or scan targets are available to the local MCP client. The supplied material does not document a hosted endpoint, OAuth flow, API token, database connection, or remote execution service.

The project also states that it is designed with EU AI Act compliance considerations, including risk management, transparency and instructions for use, bias detection and testing, FRIA support where applicable, and AI content watermarking where applicable. These are project claims; the excerpt does not explain how each requirement is implemented or produce compliance evidence automatically.

Setup and configuration

The package can be installed from PyPI with pip install security_scanner_ai_mcp, while the MCP configuration example uses the executable name security-scanner-ai-mcp through uvx. A Claude Desktop configuration can be added under the mcpServers object:

config.json
{
  "mcpServers": {
    "security-scanner-ai-mcp": {
      "command": "uvx",
      "args": ["security-scanner-ai-mcp"]
    }
  }
}

The README also says that installing the package with pip makes the security-scanner-ai-mcp command available for stdio use. No environment variables or credentials are listed in the provided material. Documentation links point to a project documentation site and an API reference, which should be consulted for tool parameters and operational requirements.

Tools and capabilities

The security-scanner-ai-mcp MCP server’s documented tool examples are:

  • scan_dependencies for dependency scanning.
  • check_headers for checking security-related headers.
  • scan_secrets for detecting exposed secrets.

At the feature level, the project also identifies SAST, DAST, vulnerability assessment, and SBOM analysis. The excerpt does not establish whether each of those areas has a separate MCP tool or describe how targets are supplied. It is therefore best treated as a capability overview rather than a complete API specification.

Limitations and notes

The README does not specify supported operating systems, programming languages, file formats, scanner backends, network requirements, result severity models, or CI integrations. It also does not describe authentication, rate limits, data retention, or remediation features.

Installation is presented as free, but the project separately lists Pro and Enterprise offerings with additional services. The repository states that the code is MIT-licensed. Claude Desktop compatibility is shown explicitly; compatibility with other MCP clients is not established by the supplied excerpt.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

npm downloads
28
Package downloads in the last 30 days.
Last commit
21d ago
Most recent push to the default branch.
Directory activity
5 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Security Scanner AI MCP

Install it from PyPI with pip, or configure the documented uvx command with the package name security-scanner-ai-mcp.

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Technical Specs & Signals

Category🔒Security
PricingFreemium
More technical detailsExpand â–¾
AuthNo auth required
LicenseMIT
ClientsClaude Desktop
Last updatedSep 4, 2026
10/12 checks healthy over the last 46d
Views5
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit21d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 4, 2026
npm downloads28/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
27Quality signal: Emerging · 27/100How this signal is calculated ▾
Server availability0/25
Verified ownership8/20
Documentation & tools13/30
Adoption & activity5/15
Community engagement1/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 25d ago via OSV.dev

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