interminal
MCP server for SSH and local terminal access. Supports interactive commands, long-running processes, and TUI apps like tmux/zellij
README
Interminal
Lightweight MCP server that gives AI assistants terminal access — SSH and local shells — with support for interactive and long-running commands.
Installation
# Run directly, no install needed (recommended)
uvx mcp-interminal
# Or install permanently
pip install mcp-interminal
Requires Python ≥ 3.11.
MCP Client Configuration
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"interminal": {
"command": "uvx",
"args": ["mcp-interminal"]
}
}
}
Cursor / other clients: same command + args format above.
Tools
| Tool | Description |
|---|---|
connect_ssh |
Connect to an SSH server; returns session_id and welcome banner |
create_local |
Create a local shell session |
execute |
Run a command; returns output or status=partial + command_id for long-running commands |
read_output |
Poll a running command for new output without sending input |
respond |
Send text input to a command waiting at a prompt |
send_control |
Send control keys: ctrl+c, ctrl+z, arrow keys, F-keys, etc. |
disconnect |
Close a session and release all resources |
list_sessions |
List all active sessions |
Key Behaviors
- No persistent shell between
executecalls — chain state with&&(e.g.cd /foo && ls) - Long-running commands return
status="partial"with acommand_id; poll withread_outputor send input withrespond - TUI apps (zellij, tmux, vim, htop) must be started in the foreground — never background with
&; after the server daemonizes, the partial channel can be abandoned - SSH PTY is 500×200 xterm-256color so multiplexer sessions render at your actual terminal size
Optional Dependencies
pip install "mcp-interminal[pty]" # Windows PTY support (pywinpty)
pip install "mcp-interminal[ansi]" # ANSI escape rendering (pyte)
pip install "mcp-interminal[pty,ansi]" # both
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.