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MCP Security Scans

MCP Server

Automate GitHub security features for MCP repos

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Updated 24 days ago

About

This server automates the process of forking repositories from a specified MCP source, authenticating via a GitHub App, and enabling advanced security features such as dependency scanning, secret scanning, automated fixes, and code scanning on the forks.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

MCP Security Scans Dashboard

MCP Security Scans is a specialized MCP server designed to bridge the gap between open‑source code hosting and automated security hardening. By ingesting a list of repositories from the central hub, it forks each target into a specified organization and immediately activates GitHub Advanced Security (GHAS) features. This streamlines the process of securing large collections of codebases, which is especially valuable for research groups or enterprises that need to maintain a consistent security posture across many projects.

The server solves the tedious, repetitive task of enabling security tooling on every forked repository. Traditionally, a developer would have to manually create a fork, navigate to the settings page, and toggle each security feature. MCP Security Scans automates this workflow: it checks whether a fork already exists, creates one if necessary, and then programmatically turns on Dependency Scanning (via Vulnerability Alerts), Automated Security Fixes, Secret Scanning, and Code Scanning where the language is supported. It also verifies the presence of a configuration file, providing immediate feedback on whether automated dependency updates are in place.

Key capabilities include:

  • GitHub App authentication that grants fine‑grained permissions for both repository and organization scopes, ensuring the server can modify settings without exposing personal access tokens.
  • Dynamic source loading from multiple repositories, currently focused on the MCP agents hub but extensible to other sources.
  • Rate‑limit awareness and error handling that reports back when the GitHub API quota is reached, preventing silent failures.
  • Reporting of processed repositories, including counts of those with and without Dependabot configurations, which can be used to audit security compliance.

Real‑world scenarios where this MCP server shines include academic research labs that maintain a large portfolio of experimental projects, security teams that need to audit forks before they are merged into production, and open‑source communities that wish to standardize GHAS usage across all contributed projects. By integrating this server into an AI assistant workflow, developers can ask the assistant to “secure all forks in my organization” and receive an up‑to‑date report without touching the command line.

The MCP server’s design leverages existing AI assistant capabilities: a prompt can trigger the server, which returns structured JSON containing repository names, security feature statuses, and any errors. This allows the assistant to present a concise dashboard or generate an automated remediation plan, making it a powerful tool for continuous security compliance in AI‑driven development environments.