"Travis CI" matching MCP servers:

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

Exposes the official lark-cli as an MCP server, enabling agents to execute arbitrary CLI commands, query API schemas, and manage authentication.

Enables AI agents to browse tasks, open sandboxed repository copies, run shell commands, and diagnose CI failures through typed MCP tools.

Enables natural language SSH server management via Claude Code, allowing users to read logs, check services, run commands, and transfer files across multiple servers.

Bridges a remote, cloud-hosted agent to your local machine, exposing Pi's coding tools (read, write, edit, ls, grep, find, bash, powershell) rooted at a directory you choose. It also adds a human channel so the agent can message, question, and wait on you through tool calls instead of a platform chat UI, with OAuth 2.1 or bearer-token authorization and no persistence between runs.

Enables agents to discover and manage Raspberry Pis and other SSH devices on a LAN, including authentication, command execution, file and directory operations, reboots, and ctrlPi API installation.

Hardened MCP server providing controlled access to PowerShell, CMD, Git Bash, and SSH from MCP clients like Claude Desktop.

Enables AI agents to list their Raspberry Pi devices and run shell commands on them—including interactive terminal programs via raw keystrokes and screen reads—through the Raspberry Pi Connect web remote shell, with no SSH, port forwarding or open ports required. Sessions persist per device so working directory, environment variables and background jobs survive between calls, and an allow-list limits which Pis the agent may touch.

An MCP server that provides tools to interact with CLI applications, enabling process management including start, stop, check status, send input, and read output.

Pre-alpha P2P remote-control app with a local stdio MCP bridge for paired computers. Users build from source; platform support and host-side approvals apply.

Enables any MCP-compatible AI, whether in the browser or running locally, to create and edit projects, run terminal commands and long-running jobs, and optionally use Docker, all guarded by a policy engine, workspace jail, authentication, and audit logging.

Enables automated VPS initialization and management through SSH connections. Supports installing common services like Node.js, Nginx, and Redis, configuring domains with SSL certificates, and setting up GitHub CI/CD pipelines with deploy keys.

Command line interface with secure execution and customizable security policies

Enables secure command-line interactions on Windows systems through PowerShell, CMD, and Git Bash, with support for SSH remote connections, SFTP file transfers, system monitoring, and configurable security controls including command blocking and path restrictions.

A Model Context Protocol server that provides secure command-line access to Windows systems, allowing MCP clients like Claude Desktop to safely execute commands in PowerShell, CMD, and Git Bash shells with configurable security controls.

Enables AI clients to execute Windows commands, manage files, query system information, and perform code checks via MCP protocol.

It enables AI assistants to run installed command-line tools and scripts, drive persistent terminals and browsers, and retrieve saved jobs, screenshots, and other evidence on a server. It also provides a dashboard for tracking sessions, installed tools, and connection settings.

A command-line interface server that provides unrestricted system access to Windows environments with SYSTEM-level privileges, allowing complete control over files, processes, and configuration settings.

An enhanced Windows CLI MCP server providing unrestricted system access capabilities, designed for trusted environments with full system access requirements.

A CLI command execution server that enables running shell commands with structured output, providing detailed execution results including stdout, stderr, exit code, and execution duration.

Enables adding and running arbitrary CLI commands through natural language, with recursive help parsing.

MCP server exposing pi coding-agent tools for file and shell operations, including read, write, edit, bash, grep, find, and ls.

A server that exposes Pi-hole functionality as tools for AI assistants, allowing them to retrieve local DNS settings and query history through natural language.

Enables an AI agent to operate a spare Android phone through MCP: capture screenshots, inspect UI controls, tap/swipe, input Chinese text, launch apps, and optionally run rooted shell commands or transfer files. It also supports a live web console for remote viewing and control.

Turn any CLI tool into an MCP server by leveraging its --help output, enabling natural language interaction with tools like gh, az, git, etc.

TaskFlow AI is a premium MCP Server designed for AI editors, offering 40+ built-in tools covering file system, HTTP requests, databases, Git operations, and more.

Exposes existing command-line applications as MCP tools by discovering their commands and arguments, generating JSON Schemas, and executing them with argument validation, allowlists, read-only rules, approvals, and container sandboxing. Works with git, kubectl, docker, and any CLI with a parseable help output or a YAML manifest.

Enables AI assistants to interact with conda CLI commands through the Model Context Protocol, providing structured tools for built-in and plugin commands while enforcing configurable read-only, write, and exec policies.

Enables AI agents to interact with interactive CLI processes via a real PTY, allowing them to send keystrokes, read screen output, and handle interactive prompts.

An MCP server that publishes CLI tools on your machine for discoverability by LLMs

Exposes Sylvan's MCP tools to a Pi coding agent, enabling management of spaces and developer shells.

Enables natural language command and control of remote systems across multiple platforms through Claude AI using the Model Context Protocol.

Enables LLMs to execute CLI commands and scripts for system deployment and management tasks, with support for directory listing, system info, and deployment templates.

Enables AI agents to securely access authenticated services (HTTP, SSH, SMTP) without exposing secrets, by acting as a server-side proxy that injects authentication.

Enables running arbitrary CLI tools as MCP server tools, configured via environment variables.

Multi-threaded terminal management MCP server for AI assistants, enabling async command execution, batch operations, and real-time web monitoring with up to 100 concurrent terminals.

Wraps any CLI tool and exposes its subcommands as MCP tools with typed parameters, supporting both config-driven mode for structured commands and fallback mode for raw CLI execution.

Enables managing Linux hosts and local coding agents from an MCP client through shell commands, files, background jobs, system information, instruction and skill discovery, and optional Claude Code, Codex, or Cursor CLI conversations. It provides privileged remote access with token authentication and can run longer work in the background.

Local SSH credential broker and stdio MCP server that enables AI clients to perform SSH and SFTP operations via stable server_id aliases without exposing passwords, private keys, or passphrases.

Enables AI clients to securely operate a local machine via MCP or REST, providing file read/write, Playwright browser automation, and shell/service administration.