"Understanding Frontend and Backend Development" matching MCP servers:

A template for building MCP backends for lab equipment with an embedded Echo example for immediate testing and development.

Centralized MCP server that provides standardized development workflow commands to Cursor AI, auto-detecting project type (Laravel, Next.js, Flutter, Architecture) and offering relevant commands for implementation, testing, and commits.

Enables a Claude Code cloud session to run shell commands inside a chroot jail on your own computer and to call the MCP servers already installed there, with every request authenticated and relayed over a Cloudflare quick tunnel so no router port is opened and no SSH key or tunnel is ever handed to the cloud VM.

Enables AI agents to run commands, capture outputs, and manage background processes with filtering capabilities for debugging and monitoring.

Enables AI clients to securely execute remote commands and transfer files over SSH through standardized MCP tools, with multi-host management, flexible authentication, and an admin console.

Combines KC Chat Panel session interaction with AgentDock computer control tools, enabling Cursor Cloud Agent to chat and operate the local machine via AgentDock.

Enables agents to discover and inspect an installed qxctl command registry, run read-only operations, and preview/apply explicitly enabled administrative actions while preserving native authority, receipts, and recovery rules.

A lightweight MCP server that enables AI assistants to execute local development tools and retrieve system status with low latency over stdio or HTTP.

Cognitive security for AI-assisted development, preventing dangerous commands and large AI code rewrites when fatigued.

MCP server that gives AI coding agents hands, eyes and a mechanic's ear for React Native development.

A MCP server that enables human-in-the-loop workflow in AI-assisted development tools by allowing users to run commands, view their output, and provide textual feedback directly to the AI assistant.

Acts as the 'Hands and Eyes' for an Autonomous AI Agent, bridging Large Language Models and your local development environment to enable safe file manipulation, context reading, command execution, and documentation verification.

An MCP server that enables AI agents to list and run tasks defined in Taskfile.yml, useful for automated development workflows.

Provides AI coding agents with structured, evidence-based diagnostics about the local development environment, detecting tech stack, runtime mismatches, dependency state, services, ports, and Git status without exposing secrets or using network calls.

Checks your local development environment for common issues like wrong Node version, missing Docker, missing git config, missing .env keys, and busy ports, and provides fixes.

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

MCP server that runs Flyway repair + migrate across multiple database projects for QA or Development environments.

SSH Session MCP fills a gap in the MCP ecosystem by offering a persistent shared SSH PTY runtime, not just stateless command execution. It features browser collaboration, input locking, safe/full execution modes, async command tracking, configurable policy rules, and multi-device profiles. Ideal for remote development, embedded systems, infrastructure workflows, and hardware control scenarios.

An MCP server for ROS 2 development that enables controlled creation of workspaces, packages, nodes, launch files, and tests within a sandboxed directory, with secure filesystem boundaries.

Enables LLM clients to inspect local development environment, including Docker container health, pnpm workspace integrity, and stuck process diagnosis.

Exposes Laravel development tools (artisan, migrations, config, schema, logs) as MCP tools for use with compatible clients.

Automates setup of local development environments for Python, Node.js, Flutter, Android, and more on macOS and Linux. Can be used as a standalone CLI or as an MCP server for AI assistant integration.

A comprehensive MCP implementation designed for fullstack development that enables code manipulation, terminal command execution, and system notifications. It provides an intelligent agent interface powered by Gemini to automate Python and Next.js development workflows.

A local MCP server for agentic remote development that enables code sync via rsync, SSH command execution, and long-running task management in remote tmux sessions.

Enables local MCP clients to run Sailfish OS device, SDK, OBS, and Android/AppSupport development workflows via typed tools for SSH access, screenshots, touch injection, builds, logs, services, and repository checks.

A beginner-friendly MCP server that enables AI to explore file systems through tools for listing directories, reading files, searching with wildcards, and getting file metadata. Perfect for learning MCP development while providing practical file system interaction capabilities.

Enables MCP-capable agents to execute boardless AMD Vivado Project Mode PL development flows through safe, policy-constrained tools while preserving diagnostic and reproducible project evidence.

A Model Context Protocol (MCP) server that enables AI assistants like Claude to directly interact with AMD/Xilinx Vivado FPGA development tools.

Connects coding agents to local development services managed by Kranz. Agents can inspect service health, ports, logs, and run history, and perform lifecycle actions through the same live runtime as the TUI and CLI.

Provides AI assistants with VS Code integration for file operations, command execution, project analysis, and development workflow automation.