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tmux-mcp
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tmux-mcp

Active·★ 25·MIT·Updated 2026-05-31
★ Hidden Gem

tmux-mcp-rs is a Rust-based Model Context Protocol (MCP) server that enables AI agents to programmatically interact with and manage tmux sessions. It allows agents to create, split, and run commands within tmux panes while providing structured output and real-time user observation, making terminal automation more reliable and efficient.

tmux-mcp sits in the Workflow Automation category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward AI Agent Control: Allows AI assistants to create, manage, and interact with tmux sessions, windows, and panes.. A representative use case is Automating Interactive Terminals: AI agents can create, manage, and operate within their own tmux sessions, allowing users to observe or participate in real-time.. The listed license is MIT. GitHub stars are currently 25. Relevant tags include tmux, AI Agent.

#tmux#AI Agent#Workflow Automation#Terminal Management#Rust#Model Context Protocol (MCP)#Shell Automation#Remote Control
$ Install
$ cargo install tmux-mcp-rs
↗ Visit site★ GitHub
01

Features

01AI Agent Control: Allows AI assistants to create, manage, and interact with tmux sessions, windows, and panes.
02Structured Interaction: Provides structured inputs and outputs for tmux commands, reducing ambiguity for agents compared to plain-text skills.
03Command Execution & Tracking: Enables execution of commands within panes and tracking their results, including exit codes and attributable output.
04Pane Content Capture & Search: Can capture pane content and offers advanced buffer search capabilities for large contexts.
05Remote & Isolated Operation: Supports controlling tmux sessions over SSH and using isolated sockets for agent-specific environments.
02

Why choose it

+AI Agent Control: Allows AI assistants to create, manage, and interact with tmux sessions, windows, and panes.
+Structured Interaction: Provides structured inputs and outputs for tmux commands, reducing ambiguity for agents compared to plain-text skills.
+Automating Interactive Terminals: AI agents can create, manage, and operate within their own tmux sessions, allowing users to observe or participate in real-time.
+Supports 5 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

Compatibility

tmux
Runtime
Verified via docs
Rust
Language
Verified via docs
Linux
Operating System
Verified via docs
macOS
Operating System
Verified via docs
SSH
Connection
Verified via docs
05

Quick start

1
$ cargo install tmux-mcp-rs
06

Use cases

↳Automating Interactive Terminals: AI agents can create, manage, and operate within their own tmux sessions, allowing users to observe or participate in real-time.
↳Reliable Shell Automation for AI: Agents can execute complex shell commands and workflows, benefiting from structured outputs and stable IDs for sessions/windows/panes.
↳Incremental Context Exploration: Using buffer search tools, agents can explore large text contexts (like logs or codebases) incrementally without loading everything into LLM context.
↳Agent Orchestration and Parallel Execution: Running parallel commands across multiple windows/panes with monitoring for complex tasks.
↳Hardened Agent Sandboxing: Enforcing security policies, command filtering, and restricting agent access to specific sockets, sessions, or panes.
07

How it compares

≈tmux-mcp belongs to the Workflow Automation category and is best evaluated alongside similar tools instead of in isolation.
≈If your main requirement is closer to "Automating Interactive Terminals: AI agents can create, manage, and operate within their own tmux sessions, allowing users to observe or participate in real-time.", that use case is a better comparison lens than a flat feature checklist.
≈tmux-mcp's license, community traction, and deployment model all make more sense when compared in category context.
08

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 25
Last commit1d ago
StatusActive
LicenseMIT
CategoryWorkflow Automation
Trend (30d)
+1↑ 1.5%
Links
Documentation↗Discussion↗Issues↗Releases↗

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