GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
An MCP server that lets AI agents act like a human at a real terminal, local or over SSH.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"termcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/open-mcp-ai/termcp:0.2.8"
]
}
}
}Run this in your terminal
claude mcp add termcp -- docker run -i --rm ghcr.io/open-mcp-ai/termcp:0.2.8Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"termcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/open-mcp-ai/termcp:0.2.8"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"termcp": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/open-mcp-ai/termcp:0.2.8"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account open-mcp-ai, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.2.8) reached the registry 12 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
⚡ Termcp
English | 中文
With Termcp:
Exactly one tool is exposed. Built on the Termcp protocol (*Terminalization Model Context Protocol*): loading more MCP servers and skills does not grow the context.
A single dependency-free binary (10 MB+), cross-platform, with a WYSIWYG web UI where a human and an AI share the same terminals and collaborate.
Install 80+ MCP servers and skills.
Host management.
Install npx -y @open-mcp-ai/termcp daemon stdio as an MCP named termcp.
Copy this to the AI.
| Agent | Command |
|---|---|
| Claude Code | claude mcp add termcp -- npx -y @open-mcp-ai/termcp daemon stdio |
| Codex | codex mcp add termcp -- npx -y @open-mcp-ai/termcp daemon stdio |
| Gemini CLI | gemini mcp add termcp npx -- -y @open-mcp-ai/termcp daemon stdio |
{
"mcpServers": { "termcp": { "command": "npx", "args": ["-y", "@open-mcp-ai/termcp", "daemon", "stdio"] } } }
Other install methods — npm / Go / Docker / prebuilt binary
| Command | |
|---|---|
| npm | npm i -g @open-mcp-ai/termcp — installs a termcp command; with it, drop npx -y @open-mcp-ai/termcp from every snippet above and use termcp. Wrapper: open-mcp-ai/Termcp-npm. |
| Go | go install github.com/open-mcp-ai/termcp@latest — GOPROXY=https://goproxy.cn,direct in mainland China; also usable as a module (go get github.com/open-mcp-ai/termcp). |
| Docker | docker run -d --name termcp -p 18765:18765 -v termcp-data:/home/termcp -e TERMCP_AUTH_TOKEN=change-me-to-a-long-random-secret ghcr.io/open-mcp-ai/termcp:latest termcp --no-internal --host 0.0.0.0 --port 18765 |
| Binary | Prebuilt releases — linux / darwin / windows on amd64 / arm64, one static file each. |
The npm wrapper downloads the matching prebuilt binary (override with TERMCP_VERSION, TERMCP_MIRROR, TERMCP_BIN, TERMCP_SKIP_DOWNLOAD). Flags: docs/cli.md. Docker recipes, Compose and a token-free loopback setup: docs/deploy.md.
HTTP transport, when an instance is already answering somewhere (npx -y @open-mcp-ai/termcp):
{
"mcpServers": { "termcp": { "type": "http", "url": "http://localhost:18765/stream" } } }
Reachable from a client in Docker as http://host.docker.internal:18765/stream (macOS/Windows) or the host's LAN IP; from another container on the same network as http://termcp:18765/stream. Legacy SSE uses http://localhost:18765/sse — only /sse, JSON-RPC goes to /message by itself. With --auth-token, add a bearer header: "headers": {"Authorization": "Bearer "}.
docs/cli.md | Every flag and subcommand, capability gates, authentication. |
docs/clients.md | All four entrances end to end: MCP transports, the stdio bridge, authentication, REST examples, and the one-tool surface. |
docs/deploy.md | Docker, multi-stage builds, Compose, pure-API build. |
docs/protocol.md | TERM/1 specification: wire format, status codes, headers, the 19 directives, the three gates. |
docs/capabilities.md | The full capability surface and the security model. |
docs/api.md | REST endpoints, WebSocket frames, locator resolution. |
docs/capabilities.md | Full capability surface and the security model. |
docs/architecture.md | Session kernel, entrances, storage. |
docs/design/ | Design records: Web UI, resource model, session storage, font stack, mobile terminal. |
CHANGELOG.md | Release notes. |
Comming Soon
Comming Soon
Released under the MIT License. Thanks to friends in the linux.do community for the discussions, feedback, and support.