"How to connect to a React Native development build" matching MCP servers:

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

A local MCP runtime for macOS and Windows that enables ChatGPT to read, edit, search, run tests, and capture screenshots in your local project folder while keeping your source code on your machine.

A Codex-style MCP server providing 126 tools to operate a Kali Linux machine from ChatGPT or any compatible MCP client, including shell execution, filesystem operations, Git, Docker, browser automation, and security tool wrappers.

A simple MCP server that exposes a terminal tool, allowing AI agents to execute shell commands.

Provides unrestricted access to your development environment with filesystem operations and shell command execution capabilities, including sudo support for local development machines.

The m2m-mcp-server-ssh-client provides a unified MCP server interface, securely connecting via SSH to the m2m-mcp-server-ssh-server back-end which aggregates MCP servers. This setup offers secure, single-point access to diverse remote tools using robust SSH key-based authentication.

MCP server bridging ChatGPT to local OpenHarness tools, enabling file reads/writes, grep, LSP, and shell execution on a workspace.

An MCP server that enables AI assistants to execute shell commands and manage files on remote servers via SSH. It supports recursive directory uploads, archive extraction, and direct file creation from text content.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

Provides file system operations (read, search, list) and time queries, enabling Claude to interact with files and get time in any timezone.

A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.

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

A collection of Model Context Protocol servers that enable Claude Desktop to provide development assistance capabilities with filesystem, Git, shell command, and web search functionality without incurring API usage costs.

An agent-native shell as an MCP server, designed for LLM agents (like Claude Code) to execute commands with structured output, lazy detail retrieval, and effect tracking, minimizing token usage.

Local Dev Doctor turns an unfamiliar development checkout into an evidence-backed diagnosis. It discovers how the project is meant to run, checks safe prerequisites, and executes only the exact probe that a user approves.

Bridges Claude Desktop to local Windows 10 development environments to enable repository reading, documentation searching, and isolated code execution. It provides a secure interface for running allowlisted terminal commands and scripts directly through natural language.

An MCP server that provides OpenCode's native tools (file read/write/edit, search, shell, web fetch/search, and more) to compatible Code CLIs like Codex and Claude Code.

Bridges VS Code on Windows with remote Linux servers via SSH, enabling AI assistants to interact with remote development environments.

An MCP server that enables large language models to connect to remote servers via SSH, execute commands, and transfer files securely.

Enables Claude to connect to servers via SSH, execute commands, transfer files, and manage connections through natural language.