"How to deploy my app on Vercel" matching MCP servers:

Enables MCP-compatible AI clients to interpret the init-app CLI, explore its supported blueprints, and translate natural-language project requirements into validated command arguments without executing the CLI.

Enables AI assistants to diagnose, troubleshoot, and manage PC settings on Windows, macOS, and Linux through natural language commands.

Enables LLMs to perform basic mathematical operations (add, subtract, multiply, divide) through a Model Context Protocol server built with Hono and deployed on Vercel. Provides type-safe calculator tools that can be accessed by any MCP-compatible client.

An MCP server for Hyprland that enables AI agents to control workspaces, windows, mouse, keyboard, and take screenshots on a Wayland desktop.

Unofficial untun MCP

Guides researchers, including those new to BPP, from raw sequence data to a validated control file that has passed a short test run. Wraps BPP command-line tools without running long analyses itself.

A server that enables LLMs to securely manage and execute commands on remote SSH servers.

Lets Claude manage tmux sessions on Linux — start long-running ML training jobs, check their output, send keystrokes, and kill them.

SSH MCP is a Model Context Protocol tool for managing and interacting with multiple virtual machines over SSH. It simplifies executing commands on remote servers using the standard SSH config file format.

Cross-platform MCP server for policy-controlled command execution on Linux and Windows, with no SSH dependency.

Exposes a Kubernetes cluster to MCP-compatible AI clients, enabling read-only and optional write operations on cluster resources like pods, deployments, and namespaces through natural language.

Production-ready, zero-knowledge AI DevOps deployment, infrastructure provisioning, self-healing execution, and persistent documentation engine for VPS servers.

Lets AI clients execute shell commands and transfer files on remote machines via configured aliases, while keeping credentials and audit logs local.

Runs commands on machines you cannot SSH into by publishing steps to a transport the far side already reaches (git, file share, S3, relay), then reads back a log with every line timestamped in UTC. Seven tools cover send, status, logs, stall detection and a pre-flight check.

Sandboxed Bash for Agents. Full state capture on every command.

Enables AI agents to interact with physical embedded target boards over a dual-CDC USB bridge using MCP tools. It exposes console reading, pattern waiting, command sending, reboot/login state machines, and in-RAM MicroPython execution while a single-owner daemon safely arbitrates access to the serial devices.

An MCP server that enables AI clients to execute shell, Python, and Node commands on the local machine across platforms.

Stateful, structured, safe shell sessions for AI agents, on real infrastructure.

Stop Package Chaos: Unveil Your Mac’s Setup for Targeted ML Debugging

Enables AI agents to see and drive a real Android phone over plain ADB: screenshots and numbered UI trees, gestures, typing with accents and emoji, SMS/RCS reading and prepared replies, notifications, files, and settings, with no root and no app installed on the phone. Safeguards mask security codes and require explicit confirmation before sending, paying, deleting or confirming anything.