aybelatchane/mcp-server-terminal
by Various
Terminal MCP Server - Model Context Protocol server for TUI/CLI automation with structured Terminal State Tree (TST)
MCP
aybelatchane/mcp-server-terminal
Added 1 June 2026
Overview
A Model Context Protocol server written in Rust that enables AI assistants to interact with terminal user interfaces and command-line interfaces. It uses a structured Terminal State Tree (TST) to represent terminal state for automation.
Best for
Best for
Developers experimenting with MCP-based terminal automation in Rust
Use cases
- Automating CLI workflows from AI assistants
- Building TUI-based agent interactions
- Scripting terminal operations via MCP
How to use
Install
npx mcp-server-terminal Tools exposed
terminal_session_createterminal_session_listterminal_session_closeterminal_session_resizeterminal_snapshotterminal_typeterminal_press_keyterminal_clickterminal_wait_forterminal_read_output
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, Cline, VS Code, ChatGPT
Notes
A Model Context Protocol server written in Rust that enables AI assistants to interact with terminal user interfaces and command-line interfaces. It uses a structured Terminal State Tree (TST) to represent terminal state for automation.
15 stars on GitHub. Last updated 2026-01-02. Licensed MIT.
Use cases
- Automating CLI workflows from AI assistants
- Building TUI-based agent interactions
- Scripting terminal operations via MCP
Pros
- Written in Rust for performance and safety
- Structured state representation aids reliable automation
- Implements the Model Context Protocol for interoperability
Cons
- Very early stage with only 15 GitHub stars
- Limited community and documentation
- Requires understanding of both MCP and TST concepts
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Written in Rust for performance and safety
- Structured state representation aids reliable automation
- Implements the Model Context Protocol for interoperability
Cons
- Very early stage with only 15 GitHub stars
- Limited community and documentation
- Requires understanding of both MCP and TST concepts
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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