Security Hacker MCP. Audit open-source code and hunt supply chain threats instantly.
Google Deps.dev Security Hacker turns your AI client into a specialized DevSecOps auditor. It instantly scans open-source packages and full GitHub repositories for deep supply-chain vulnerabilities, known CVEs, and governance gaps across npm, PyPI, Maven, and more. You get to hunt down hidden threats that basic scanners miss.
Give Claude and any AI agent real-world access
Check any open-source package across major ecosystems (npm, PyPI, etc.) for known security flaws and adherence to governance standards.
Trace the full dependency tree of a package to find indirect or deep-level vulnerabilities that aren't immediately obvious.
Run comprehensive security and governance audits on an entire GitHub repository, checking for best practices like code reviews and fuzzing.
Retrieve specific technical information about a given CVE or GitHub Security Advisory ID so you know exactly what's compromised.
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What AI agents can do with Google Deps.dev Security Hacker MCP with 4 Tools
These tools let your AI client perform specialized security checks on dependencies, entire repositories, and specific vulnerabilities across multiple programming languages.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Google Deps.dev Security Hacker MCPAnalyze Dependency
Checks a specific open-source package across multiple systems (npm, pypi, etc.) for security flaws and governance scores.
Analyze Github Repository
Runs a full audit of a GitHub repository to assess its overall development security...
Get Transitive Dependencies
Maps the complete dependency tree for a package, finding hidden or indirect...
Get Vulnerability Details
Retrieves specific technical details about any known vulnerability using its CVE or...
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
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Make Your AI Do More
Start with Google Deps.dev Security Hacker, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
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- Works with Claude, ChatGPT, Cursor, and more
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The headache of auditing open source libraries.
Today, checking one library means opening GitHub, finding its release history, cross-referencing a dozen vulnerability databases, and then running local dependency audits just to find the transitive dependencies. It's a massive copy/paste job that takes hours and relies on you remembering which tool checked what.
With this MCP, you simply ask your agent to audit the package or repository. It handles the complexity of tracking every single layer—from the top-level dependency all the way down into its deepest dependencies—and delivers a clear report in seconds.
Get full visibility with Google Deps.dev Security Hacker
You stop manually gathering scores and reports from disparate sources. You never have to worry about forgetting which specific package version caused a vulnerability; the MCP checks that context for you.
The difference is moving from reactive, painful investigation to proactive, instant assurance. Your AI agent gives you expert-level security analysis on demand.
What Security Hacker MCP does for your AI
This MCP connects your agent directly to Google's Open Source Insights (deps.dev). It lets you perform serious security audits on any open-source code, making your AI client a true DevSecOps auditor. Instead of running multiple command-line tools or cross-referencing documentation pages for vulnerabilities, your agent handles the entire process in chat.
Need to check if an old version of Express is safe? Just ask. Need to know every single dependency that package relies on, including the ones you never knew existed? The agent maps the whole tree. You can even paste a GitHub URL and get a full governance score based on industry best practices.
Vinkius hosts this MCP so your AI client can access all of these checks from one place. It's what developers actually need when they're worried about supply chain attacks.
019eb8c8-e09f-70bc-aaad-612d4d684aad How to set up Security Hacker MCP
The bottom line is you get professional-grade supply chain security analysis without leaving your chat window.
Tell your agent which package, repository, or vulnerability ID you need to check. For example: 'Audit the PyPI package requests.'
The MCP connects to Google's deps.dev API and executes the necessary security scan (e.g., mapping dependencies or checking governance).
You get a plain-language report detailing known CVEs, high-risk components, OSSF scores, and immediate upgrade recommendations.
Who uses Security Hacker MCP
The DevSecOps Engineer who gets burned checking dependency chains manually. The Security Architect worried about third-party risk. The Senior Developer who needs to quickly vet a new open-source library before committing code.
Uses the MCP daily to audit dependencies and repositories, ensuring that every new feature passes security checks without needing dedicated scanning tools.
Runs full governance audits on client-provided GitHub URLs using OSSF Scorecards to vet the overall health of a project's development process.
Needs to quickly check if an older, common package version like Log4j is still safe or if they need to upgrade immediately before running tests.
Benefits of connecting Security Hacker MCP
Never trust a dependency blindly. Use the get_transitive_dependencies tool to map every single indirect component, finding hidden malware or unpatched flaws deep in the stack.
Cut down on manual research time. Instead of checking multiple documentation sites for CVEs, let your agent use analyze_dependency to instantly flag known security advisories across npm, PyPI, and more.
Gauge project maturity automatically. Paste a GitHub URL and run analyze_github_repository. You get an OSSF Scorecard that tells you if the project even follows basic security best practices.
Understand exactly what's broken. If you find a weird CVE ID, use get_vulnerability_details to pull down the exact exploit mechanism, severity, and affected versions for immediate patching.
Support every major language stack. This MCP works natively across npm (Node.js), PyPI (Python), Maven (Java), Cargo (Rust), and more, so you never have to switch tools.
Security Hacker MCP use cases
Vetting a new third-party library
A developer finds a promising open-source library but isn't sure if it's safe. They ask their agent to run analyze_dependency on the package name, immediately getting an OSSF score and a list of known CVEs without installing anything locally.
Investigating supply chain risks
A security engineer suspects a core service has been compromised by a hidden dependency. They use get_transitive_dependencies to map the full tree, spotting an obscure, unpatched component that needs overriding.
Assessing team code quality
A manager wants to know if their internal teams are following security best practices. They input a GitHub URL and run analyze_github_repository, getting actionable feedback on branch protection or code review enforcement.
Responding to a critical zero-day alert
A team gets an alert about an old vulnerability ID (like Log4Shell). They use get_vulnerability_details with the specific CVE ID, getting immediate confirmation of severity and affected package versions.
Security Hacker MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Checking only top-level dependencies
A developer runs a basic audit and sees that their main dependency is clean. They assume the project is safe because they didn't look deeper.
Always run get_transitive_dependencies. This ensures your agent maps out the entire tree, catching hidden risks from indirect components you never even knew existed.
Relying on manual documentation searches
When a vulnerability pops up, the developer spends hours cross-referencing multiple CVE databases and GitHub advisories to understand its impact.
Use get_vulnerability_details. Give your agent the GHSA or CVE ID. It pulls down all necessary details—impact, affected versions, severity—in one shot.
Ignoring project governance
A team adopts a library because it's popular, but the repository has no enforced code reviews or version signing.
Run analyze_github_repository. The OSSF Scorecard immediately flags poor governance practices like missing fuzzing or lack of branch protection.
When to use Security Hacker MCP
Use this MCP if your primary concern is third-party risk, supply chain integrity, or knowing the security posture of open source codebases. You need to audit what a project uses (dependencies) and how it's built (governance). If you only care about general functionality—like figuring out how to call an external API endpoint—this tool is overkill. For simple task automation, use a dedicated messaging or data management MCP instead. But if the code quality or dependency risk is your blocker, this Hacker toolkit is mandatory.
Frequently asked questions about Security Hacker MCP
How does Google Deps.dev Security Hacker check dependencies? +
It connects directly to the deps.dev API and supports major package managers like npm, PyPI, Cargo, Maven, and NuGet for comprehensive coverage.
Can I use analyze_github_repository with private repos? +
The MCP requires a publicly accessible GitHub URL to run the OSSF Scorecard audit. It analyzes public governance practices only.
Does get_transitive_dependencies find everything? +
It maps and scans the entire dependency graph, finding indirect components that could contain hidden security threats or unpatched vulnerabilities.
What is an OSSF Scorecard? +
The OSSF Scorecard is a metric used to rate how well a repository enforces development best practices like code review and branch protection.
Is this better than running local vulnerability scanners? +
Yes. While local tools are good, the Security Hacker MCP provides immediate, centralized analysis across multiple ecosystems without needing to install anything or manage complex environments yourself.