"How to handle REST APIs" matching MCP servers:

An MCP Server that enables natural language interaction with the Open Policy Agent REST API, allowing users to manage policies, decisions, and data through conversational interfaces.

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.

fork from https://github.com/JoshuaRileyDev/mac-apps-launcher

An MCP server that enables managing SSH hosts, tunnels, Docker containers, and monitoring metrics via Termix's REST API.

Provides a governed command plane for MCP agents to manage PostgreSQL databases, SSH sessions, and HTTP APIs with encrypted credential storage and prescriptive workflows.

MCP server for managing a self-hosted Coolify instance. Provides full REST CRUD, deploy/watch capabilities, and an optional host-ops tier for live log streaming, SSH, Docker, and database access.

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.

Verified control of the whole desktop for agents on Windows and Linux: apps with no API, windows, shell, browser. MCP server + CLI + REST API.

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

MCP server for controlling VMware Fusion/Workstation virtual machines via vmrun CLI, providing 32 tools for VM lifecycle, guest execution, and file operations without requiring a REST API daemon.

Provides seamless integration with Tailscale's CLI commands and REST API, enabling automated network management and monitoring through a standardized Model Context Protocol interface.

Enables AI assistants to manage Empire listeners, stagers, agents, modules, and credentials via the Empire REST API.

MCP server that lets AI agents call APIs without ever seeing the credentials, using a local encrypted vault and per-secret allowlist policies for HTTP requests and subprocess environment variables.

Enables interaction with a persistent PowerShell session through LM Studio. Provides tools to run commands, manage directories, and handle environment variables while maintaining session state between calls.

A secure gateway that lets AI agents interact with APIs and SSH servers via scoped tokens, with credential injection, human-in-the-loop for dangerous commands, and MCP integration for tool access.

A PTY-based MCP server providing persistent, interactive shell sessions with strong Windows support, enabling AI agents to run commands, handle interactive tools, and manage large output across MCP-compatible clients.

Parselbox is a local, open-source execution layer that turns MCP servers, APIs, shells and host functions into native Python objects. Agents discover capabilities on demand and compose them with code, files, packages and background tasks in one stateful workspace. Powered by Deno and Pyodide.

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.

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.

MCP server that provides file operations and Moonshot API-powered tools (reasoning, code review, testing, research, web search, agent) for Kimi K2.5, requiring only a Moonshot API key.