What are the prerequisites to install MCP Terminal Server?
Windows operating system, Python 3.7 or higher, and administrator privileges (for service installation).
@cwmoore-ai
Basic information
A lightweight FastAPI server that can run as a Windows service and exposes an endpoint to execute shell commands and stream their output
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A lightweight FastAPI server that runs as a Windows service and exposes an endpoint to execute shell commands and stream their output in real-time. It includes API key authentication, rate limiting, and configurable logging.
Install via the provided PowerShell script (install_service.ps1) with optional parameters for API key, port, host, and log level. Configure through environment variables or a JSON config file. Manage the service using service.py commands (install, start, stop, restart, remove, debug). Use the test client (test_client.py) or call the API endpoints directly (POST /run, GET /health) with the API key in the X-API-Key header.
/health endpointWindows operating system, Python 3.7 or higher, and administrator privileges (for service installation).
Set the API key via the `-ApiKey` parameter during installation, the `MCP_TERMINAL_API_KEY` environment variable, or in the client configuration file (`client_config.json`).
Use debug mode by running `python service.py debug` from the terminal.
`POST /run` executes a command (requires API key, returns streaming output), and `GET /health` returns server health status.
The server blocks potentially dangerous commands, but additional security measures are recommended in production.

Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.

Agent-Native Terminal

ArtiBot Cloud MCP (Zhijiangyun 智匠云) — cloud MCP server for robot manipulation data & GPU workloads. 15 tools: robot fleet management, data collection & video recording, post-processing pipelines, and benchmark evaluation

Official Porkbun MCP server, maintained by Porkbun. Check domain availability and pricing, register, renew and transfer domains, and manage DNS records, nameservers, URL forwarding, glue records, DNSSEC and domain contac

The tools your AI needs to make your games. Turn prompts into production-ready game assets — animated characters with their weapons attached, seamless textures, terrain, VFX, HUDs — and playable game kits Unity, Godot, U
Comments