"Reading Local Project Files to Assist Development" matching MCP servers:

An AI-powered containerization assistant that helps you build, scan, and deploy Docker containers through VS Code and other MCP-compatible tools.

Create sandboxed local development environments directly from Github and execute tests, see coverage and more! Supports Python, Node, Bun and many test runners.

Enables AI assistants to interact with local Docker containers, Kubernetes clusters, and system logs using the Model Context Protocol.

MCP server that turns natural-language requests into configured n8n workflows and safely operates a local n8n Docker stack, including workflow management, API access, and Docker lifecycle operations with confirmation-based safety.

TypeScript stdio MCP server for operating Docker-based local-ydb deployments from AI coding agents. Supports local and SSH-backed profiles, bootstrap, diagnostics, auth hardening, schema permissions, storage workflows, dump/restore, upgrades, and plan-first mutating operations.

Enables Docker container management through natural language conversations, including deployment, health monitoring, dependency resolution, auto-redeployment on file changes, and environment snapshots.

Enables Docker container management and test execution via MCP tools, supporting image building, container operations, and automated test runs.

Enables AI coding agents to safely execute commands, run tests, and modify project files inside disposable, policy-enforced Docker sandboxes that are isolated from the host machine and its credentials.

Enables AI assistants to automate DDEV development environments, including project management, database operations, and executing commands for various CMS frameworks.

Enables AI assistants to interact with DDEV local development environments by querying databases, managing project states, and executing container commands. It provides comprehensive control over local services with a security-first approach using whitelisted operations.

An MCP server that lets AI agents manage virtual machines across local and cloud targets, with tools to create machines, run commands, transfer files, and clean up ephemeral instances via natural language.

AI-powered cloud development IDE, so you can run AI to surf in a secure sandbox environment.

MCP server for generating and configuring development containers from devcontainer.json files, enabling management of devcontainer environments through tools like devcontainer_up, devcontainer_exec, and cleanup.

This MCP provides comprehensive tools and resources for MSX software development, testing, and automation through openMSX emulator.

Provides MCP multi-cluster Kubernetes management and operations. It can be integrated as an SDK into your own project and includes nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.

Provisions Docker-based development environments on demand, allowing AI agents to create, manage, and inspect containerized dev environments without manual setup.

Enables comprehensive Ansible automation management through natural language, including playbook creation and execution, inventory management, role scaffolding, and project workflows. Supports both local inventories and full project lifecycle management with syntax validation and idempotency testing.

A code-mode MCP server for the Unraid 7.2+ GraphQL API that exposes search and execute tools, allowing LLM agents to introspect and call any GraphQL field via sandboxed JavaScript.

Enables MCP clients to rent GPUs from ParalonCloud using natural language, including browsing available GPUs, starting and stopping rentals, and retrieving connection URLs.

An MCP server that gives LLM agents full API access to a VMware Cloud Foundation 9.1 estate, exposing 8,931 operations through eight tools with automatic authentication, async task tracking, and write safety.