
iterm-mcpA Model Context Protocol server that executes commands in the current iTerm session - useful for REPL and CLI assistance
Overview
Key features
- write_to_terminal: Writes to the active iTerm terminal
- read_terminal_output: Reads output from the active iTerm terminal
- send_control_character: Sends control characters to the active iTerm terminal
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
REPL Assistance
Use iterm-mcp to interact with REPLs in iTerm, allowing the model to execute commands and inspect output.
CLI Task Automation
Delegate CLI tasks to the model, enabling it to perform actions and report back to the user.
Pros & Cons
Pros
- Efficient token use by only providing the model with relevant output
- Natural integration with iTerm for seamless interaction
- Full terminal control and REPL support for versatile usage
Cons
- No built-in safety restrictions, requiring user monitoring
- Potential for unexpected model behavior if not properly managed
Reviews
Sign in to leave a review.
No reviews yet. Be the first!
Q&A
How to install iterm-mcp?
You can install iterm-mcp via npx, and add the server config to Claude Desktop, or use Smithery to install it automatically.
Asked by Elif Yildiz · Dec 13, 2025
Are there any safety restrictions?
No, iterm-mcp does not evaluate the safety of commands, and the user is responsible for safe usage and monitoring potential unexpected model behavior.
Asked by Freya Solberg · Dec 4, 2025
What are the key features?
The key features are write_to_terminal, read_terminal_output, and send_control_character, which provide full terminal control and REPL support.
Asked by Ulla Nielsen · Dec 4, 2025
What is iterm-mcp?
iterm-mcp is a Model Context Protocol server that provides access to your iTerm session, allowing a model to execute commands and interact with REPLs.
Asked by Hiroshi Tanaka · Nov 18, 2025
Ask a question
MCP Servers alternatives

Open-source MCP server that lets LLMs drive real browsers via Playwright and accessibility snapshots.

Python agent framework from the Pydantic team for building type-safe GenAI apps.

Adaptive memory layer that helps AI agents learn from context over time.

AI email assistant that organizes, drafts replies, and helps you reach inbox zero faster.

Open-source 24/7 local screen and audio recording for building context-aware AI apps

TypeScript library for building and orchestrating AI agents with tools, memory, and multi-agent workflows.

Bringing the bankless onchain API to MCP

Python tool for converting files and office documents to Markdown.
Trending now

Document intelligence API that parses, splits, OCRs, and extracts structured data from complex PDFs, slides, and spreadsheets.

Sponsored answers, paid per click.

Accurate Homework Help with Full Explanations

Open multimodal 12B model handling interleaved images and text with a 128K context window.
