"Docker" matching MCP servers:

. A good description should be concise and describe what the server enables users to do, e.g. * Enables to interact with WordPress sites...' Then a huge block? Actually the user message includes the README content inside tags, then after the readme, there is a large block of text starting with '{

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.

A Model Context Protocol server integrating DevOps tools for GitHub, Docker, and filesystem operations.

Provides tools and slash commands to onboard developers and manage DevOps workflows including Git operations, Docker containerization, GitHub Actions CI/CD, GitHub Container Registry, SonarCloud code analysis, and Azure container deployments.

MCP server for managing Ubuntu servers with AI integration, enabling system monitoring, Docker control, Gitea repository management, Ollama LLM interaction, workspace file operations, and Claude Code assistant via natural language.

A FastMCP server providing comprehensive file system, Docker, and Git operations with concurrency safety and dual transport support.

An experimental MCP server that enables AI assistants to interact with VS Code workspaces through file operations, code execution, and Git management. It also provides tools for Docker integration, project scaffolding, and secure command execution using project-specific configurations.

Enables AI models to create and manage GitHub repositories, branches, and files directly through a personal access token. This Docker-friendly server facilitates repository administration and content updates without requiring a local clone.

A minimal MCP server that enables creating GitHub repositories, committing files, and publishing releases using just a personal access token, without Docker or local Git.

Enables searching and managing Docker images and tags, as well as querying GitLab CI/CD references, versions, and pipeline configurations through a DevOps API.

Enables managing local repositories, CLIs, MCP servers, and skills via MCP tools, with inventory tracking, guarded updates, and Docker-sandboxed trials.

Enables AI agents to work with developer tools such as git, npm, Docker, and test runners through structured, schema-validated JSON outputs. Reduces token usage and eliminates fragile terminal text parsing for reliable cross-platform workflows.

Provides MCP servers that wrap common developer tools (git, npm, docker, etc.) returning structured JSON output, enabling AI agents to reliably interact with these tools without parsing fragile terminal text.

Enables AI agents to interact with common developer tools such as Git, npm, Docker, and test runners by returning schema-validated JSON instead of raw terminal text. This reduces brittle parsing errors and token usage while providing typed data agents can act on directly.

Provides a restricted Docker-based sandbox for LLM agents, enabling file operations, command execution, and local Git within an isolated runtime.

A self-contained Docker Compose deployment that exposes MCP tools for files, shell commands, background processes, and Git operations, enabling ChatGPT to work with a host directory via OAuth authentication.

Enables AI agents to invoke common developer tools — git, GitHub, npm, Python, cargo, Docker, Kubernetes, linters, and test runners — and receive schema-validated structured JSON instead of raw terminal text. This removes brittle string parsing and cuts token usage dramatically on verbose commands like builds, installs, and test runs.

Provides MCP servers that wrap developer tools like git, npm, Docker, and test runners, returning schema-validated, token-efficient JSON so agents can use structured data directly.

A local MCP server that gives AI coding assistants read, write, search, and execute capabilities within a specified project directory. This Windows GUI build simplifies setup by eliminating manual Python, Node.js, or Docker installation.

Enables MCP clients to execute commands, edit files, run Git workflows, and perform validated independent reviews in real development environments through Docker-based runtimes with separated developer and auditor permissions.