Deploy a Serve application to a GPU inference cluster using its Python import path. Merges into existing config while preserving current apps.
MIT
650,537 tools. Updated 2026-10-14 07:11
"How to Assess the Security of a Python Application" matching MCP tools:
- Scan a directory of Python files with Bandit to uncover security vulnerabilities like SQL injection, hardcoded passwords, and unsafe functions.MIT No Attribution
- Scan Python code with Bandit to uncover security vulnerabilities including SQL injection, hardcoded secrets, and unsafe functions.MIT No Attribution
- Run static application security testing on local code: upload it to Kali, run Semgrep, Bandit, Gitleaks, and Graudit in parallel, then save a versioned report and delete uploaded code.MIT
- Analyze a web application's HTTP security headers to identify missing protections, detect information disclosure, and receive actionable hardening recommendations.MIT
- Assess your MCP server deployment against OWASP MCP Top 10 security risks. Describe your setup to receive vulnerability analysis and compliance guidance.MIT
Matching MCP Servers
- FlicenseNot gradedqualityBmaintenanceThis MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.-
- AlicenseNot gradedqualityDmaintenanceA 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 Python code from natural language prompts, with optional PyPI package install.
Contract and agent-package scans, phishing URL and OFAC checks, domain and header checks.
- Run custom Python code in Fusion 360 for operations not available through standard tools. Access the application, design, and root component directly.MIT
- Get the CASB (Cloud Access Security Broker) SaaS-application usage report. Read-only analytics.MIT
- Assess a package's health by examining maintenance activity, download trends, security status, deprecation, and documentation quality to determine if it's safe to use.MIT
- Retrieve WAF security events within a time range, filtering by attack type, source IP, target IP, and region to monitor and analyze web application firewall threats.MIT
- 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
- Scan Python files and directories for security vulnerabilities, lint violations, and risky mutable defaults. Returns a report of all findings.MIT
- Retrieves the name and bundle ID of the active application, allowing scripts to adapt to the current app.MIT
- Initialize security scanning for Python projects by auto-detecting frameworks and setting up middleware, pre-commit hooks, and configuration files.MIT
- Assess security of Hotspot 2.0 configurations, perform attack simulations, and get defense recommendations.MIT
- Perform comprehensive cellular security analysis: look up attacks, search by category/severity, detect IMSI catchers, assess posture, and get defense recommendations.MIT
- Scan a local Python application to create a normalized coupling inventory, including prompt files missed by automatic discovery.Apache 2.0
- 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
- Assess WiFi Direct security posture, execute attack techniques, or apply defense hardening recommendations.MIT
- Find the file path of a Python interpreter, optionally filtered by version, to identify available Python installations.Apache 2.0
- Assess, attack, or defend wireless display protocols including Miracast, AirPlay, and Chromecast. Select mode for security analysis.MIT