About
iterm-mcp is a terminal integration tool for macOS that connects AI assistants directly to active iTerm2 sessions. It enables models to execute shell commands, inspect terminal output, and interact with REPLs within your existing terminal environment. Key capabilities: - Execute commands in the active iTerm2 terminal with real-time output capture - Read selective portions of terminal output to optimize token usage - Send control characters (Ctrl-C, Ctrl-Z, etc.) for interactive process management - Full REPL support for interactive programming environments - Seamless session sharing allowing the model to see what's on screen and perform delegated tasks
README
iterm-mcp
A Model Context Protocol server that provides access to your iTerm session.Features
Efficient Token Use: iterm-mcp gives the model the ability to inspect only the output that the model is interested in. The model typically only wants to see the last few lines of output even for long running commands.
Natural Integration: You share iTerm with the model. You can ask questions about what's on the screen, or delegate a task to the model and watch as it performs each step.
Full Terminal Control and REPL support: The model can start and interact with REPL's as well as send control characters like ctrl-c, ctrl-z, etc.
Easy on the Dependencies: iterm-mcp is built with minimal dependencies and is runnable via npx. It's designed to be easy to add to Claude Desktop and other MCP clients. It should just work.
Safety Considerations
Tools
write_to_terminal - Writes to the active iTerm terminal, often used to run a command. Returns the number of lines of output produced by the command.read_terminal_output - Reads the requested number of lines from the active iTerm terminal.send_control_character - Sends a control character to the active iTerm terminal.Requirements
Installation
To use with Claude Desktop, add the server config:
On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"iterm-mcp": {
"command": "npx",
"args": [
"-y",
"iterm-mcp"
]
}
}
}
Installing via Smithery
To install iTerm for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install iterm-mcp --client claude
[](https://smithery.ai/server/iterm-mcp)Development
Install dependencies:
yarn install
Build the server:
yarn run build
For development with auto-rebuild:
yarn run watch
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
yarn run inspector
yarn debug
The Inspector will provide a URL to access debugging tools in your browser.
Related MCP Servers
AI Research Assistant
hamid-vakilzadeh
AI Research Assistant provides comprehensive access to millions of academic papers through the Semantic Scholar and arXiv databases. This MCP server enables AI coding assistants to perform intelligent literature searches, citation network analysis, and paper content extraction without requiring an API key. Key features include: - Advanced paper search with multi-filter support by year ranges, citation thresholds, field of study, and publication type - Title matching with confidence scoring for finding specific papers - Batch operations supporting up to 500 papers per request - Citation analysis and network exploration for understanding research relationships - Full-text PDF extraction from arXiv and Wiley open-access content (Wiley TDM token required for institutional access) - Rate limits of 100 requests per 5 minutes with options to request higher limits through Semantic Scholar
Linkup
LinkupPlatform
Linkup is a real-time web search and content extraction service that enables AI assistants to search the web and retrieve information from trusted sources. It provides source-backed answers with citations, making it ideal for fact-checking, news gathering, and research tasks. Key features of Linkup: - Real-time web search using natural language queries to find current information, news, and data - Page fetching to extract and read content from any webpage URL - Search depth modes: Standard for direct-answer queries and Deep for complex research across multiple sources - Source-backed results with citations and context from relevant, trustworthy websites - JavaScript rendering support for accessing dynamic content on JavaScript-heavy pages
Math-MCP
EthanHenrickson
Math-MCP is a computation server that enables Large Language Models (LLMs) to perform accurate numerical calculations through the Model Context Protocol. It provides precise mathematical operations via a simple API to overcome LLM limitations in arithmetic and statistical reasoning. Key features of Math-MCP: - Basic arithmetic operations: addition, subtraction, multiplication, division, modulo, and bulk summation - Statistical analysis functions: mean, median, mode, minimum, and maximum calculations - Rounding utilities: floor, ceiling, and nearest integer rounding - Trigonometric functions: sine, cosine, tangent, and their inverses with degrees and radians conversion support