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457,926 tools. Updated 2026-08-14 19:57

"How to Assess the Security of a Python Application" matching MCP tools:

  • Assess common response security headers of public HTTP(S) URLs to evaluate security posture. Returns static evidence without executing JavaScript.
    Apache 2.0
  • Deploy a Serve application to a GPU inference cluster using its Python import path. Merges into existing config while preserving current apps.
    MIT
  • Scan Python code with Bandit to uncover security vulnerabilities including SQL injection, hardcoded secrets, and unsafe functions.
    MIT No Attribution
  • Run a comprehensive security audit of your OPNsense firewall to identify misconfigurations, assess security posture, and check compliance with PCI DSS, NIST SP 800-41, and CIS benchmarks.
    MIT
  • Analyze a web application's HTTP security headers to identify missing protections, detect information disclosure, and receive actionable hardening recommendations.
    MIT

Matching MCP Servers

  • F
    license
    -
    quality
    B
    maintenance
    This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.
  • A
    license
    -
    quality
    C
    maintenance
    A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.
    MIT

Matching MCP Connectors

  • Run custom Python code in Fusion 360 for operations not available through standard tools. Access the application, design, and root component directly.
    MIT
  • Assess any npm package's health to evaluate maintenance activity, download trends, security status, deprecation, and documentation quality.
    MIT
  • Assess the trustworthiness of a SKILL.md file using ClawHub-style categories to identify potential security risks before use.
    Apache 2.0
  • Run Python code against a loaded context in a sandboxed subprocess for secure data analysis. Set the result variable for output. Optional timeout and security checks.
    MIT
  • Initialize security scanning for Python projects by auto-detecting frameworks and setting up middleware, pre-commit hooks, and configuration files.
    MIT
  • List Web Application Firewall security events from Naver Cloud Security Monitoring by specifying a time range and optional filters for attack type, IP, or region.
    MIT
  • Analyze UWB security: assess vulnerabilities, simulate Ghost Peak attacks, or apply secure ranging best practices for use cases like vehicle unlock and digital key.
    MIT
  • Find the file path of a Python interpreter, optionally filtered by version, to identify available Python installations.
    Apache 2.0