"Docker" matching MCP servers:

A Docker-based MCP server providing codebase memory and search tools. It enables storing/retrieving memories, regex search of code, and file summarization for AI assistants.

Enables AI assistants to perform sophisticated static code analysis using Joern's Code Property Graph technology. Supports multi-language analysis, security vulnerability detection, and code quality assessment through isolated Docker environments.

Enables searching LinuxServer.io images, auditing Docker Compose and run commands against documentation-derived conventions, and searching open/closed image requests to prepare drafts without submission.

Clones and inspects public GitHub repositories to extract evidence like manifests, dependencies, and version hints, and can run allow-listed repos in isolated Docker containers for reproducible verification.

Provides a keyless, unified view of developer registries (npm, PyPI, Docker Hub, VS Code Marketplace) with tools for package search, details, versions, downloads, dependency graphs, vulnerabilities, and security insights via the DevStack API.

An MCP server that audits Dockerfiles for security and quality issues, providing structured reports with severity, line numbers, remediation, and fix snippets.

Umbra is the trust layer for AI-generated code. It scores any repo 0-100 with file:line evidence (security, slop, Docker-verified build/boot, and claim receipts that catch agents lying about tests), and guards agent file writes mid-stream blocking leaked keys, alg:none JWTs, and git-hook plants before they land. Tools: scan_repo, guard_content, get_score.

Local-first MCP graph intelligence server providing RRF hybrid search, multi-hop traversal, source snippets, and rationale nodes for AI agents, without Docker or web UI.

Enables AI coding agents to run fast, sandboxed pre-flight validation—tests, type-checking, linting, security audits, Git safety scans, and fix suggestions—before committing or pushing code, with instant caching and optional Docker isolation.

A Docker-managed MCP server for analyzing React codebases and generating component documentation from mounted workspaces. It enables users to scan projects, analyze JSX/TSX strings directly, and generate Markdown docs while ensuring safe path handling.

This MCP server enables automated maintenance and code analysis for Python/pytest repositories in isolated Docker environments. It supports read-only investigations, fix-and-verify tasks, and provides full audit trails with SQLite event history and artifact exports.

A local code indexing and search library that enables AI agents to perform semantic and keyword searches across codebases using tree-sitter and SQLite. It provides tools for indexing projects and finding precise code definitions without requiring external APIs, Docker, or server infrastructure.

Exposes Ghidra headless binary analysis capabilities via the Model Context Protocol, enabling AI assistants to decompile, analyze, and emulate binaries with 32 tools and multi-binary support.

Provides a set of MCP tools to clone and analyze arbitrary MCP server repositories, run static and dynamic security probes in isolated Docker containers, and produce vulnerability verdicts with a human-in-the-loop approval step before filing public reports.

Sentinel is an enterprise-grade security server that integrates tools like Semgrep, Trivy, and Gitleaks via Docker to perform automated vulnerability scanning and compliance checks. It enables users to conduct static analysis, secret detection, and AI-powered threat modeling directly through Model Context Protocol-compatible IDEs.

Automated security audit assistant for GitHub repositories that detects static vulnerabilities (leaked credentials, vulnerable dependencies, bad Docker practices, excessive GitHub Actions permissions), calculates a security score, and provides risk explanations and mitigation recommendations via Cohere.