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Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionAgent Security Scanner MCP ServerSecurity scanning for AI coding agents.GitHub MCP ServerGitHub's official MCP server for managing repos, issues, PRs, and workflows via natural language
FMRS49 / 100 · D76 / 100 · B
Reliability8 / 2013 / 20
Security and permissions10 / 2014 / 20
Maintenance8 / 2018 / 20
Documentation12 / 2017 / 20
Setup experience11 / 2014 / 20
Best for
  • Developers using Claude Code, Cursor, Windsurf, Cline, OpenCode, or another supported AI coding client
  • Teams reviewing AI-generated code, MCP tools, prompts, and supply-chain risks
  • Teams needing security evidence before CI, releases, or vendor reviews
  • Teams that want an AI assistant to directly operate on GitHub repos and collaboration workflows
  • Users already in the GitHub Copilot ecosystem who want a zero-deployment remote option
Not for
  • Users who only need traditional dependency vulnerability scanning
  • Users looking for a replacement for npm audit
  • Users needing hosted semantic review without configuring a model provider
  • Scenarios where you don't want the assistant to have write access to repos (enable only read-only toolsets)
  • Environments with strict network isolation for private repos that can't reach the official remote endpoint
Required permissions
  • Read access to projects, files, Git diffs, MCP servers, or dependency data being scanned
  • The auto-fix capability may require write access to project files
  • Semantic review uses the model provider selected by the user
  • A personal access token (PAT) or OAuth App token; effective scope depends on the token's own permissions
  • Enabling toolsets like actions/issues/pull_requests grants write access — request tokens on a least-privilege basis
Risks and side effects
  • AI-generated code may introduce SQL injection, XSS, command injection, unsafe cryptography, or secrets
  • MCP tools may contain description injection, tool-name spoofing, environment-variable exposure, or command-execution risks
  • AI-generated package names may not exist, creating package-squatting or dependency-confusion risks
  • Semantic review sends relevant content to the selected provider; rule-based scans and MCP scans run locally
  • Write toolsets (creating/merging PRs, triggering workflows) can cause accidental changes if the token is overscoped — try a read-only toolset first
  • In hosted mode, credentials travel via the Authorization header — make sure the client-to-api.githubcopilot.com connection is trusted
Supported clientsClaude Code, Cursor, Claude Desktop, Windsurf, Cline, Kilo Code, OpenCode, CodyClaude Desktop, Claude Code, VS Code, Cursor, Windsurf, JetBrains IDEs, Zed, Amp
Tools1715