Kitty MCP Server
A production-grade server for programmatically controlling kitty terminal instances, allowing users to launch windows, send text or key combinations, and capture scrollback buffer content. It facilitates automation workflows and command analysis by providing remote control over the kitty terminal through the Model Context Protocol.
README
Kitty MCP Server
<p align="center"> <img src="https://sw.kovidgoyal.net/kitty/images/logo/kitty-32.png" alt="kitty logo" width="64"> <br> <strong>A production-grade MCP server for controlling kitty terminal instances</strong> </p>
<p align="center"> <a href="https://github.com/your-username/kitty-mcp/actions/workflows/ci.yml"> <img src="https://github.com/your-username/kitty-mcp/workflows/CI/badge.svg" alt="CI"> </a> <a href="https://pypi.org/project/kitty-mcp"> <img src="https://img.shields.io/pypi/v/kitty-mcp.svg" alt="PyPI version"> </a> <a href="https://pypi.org/project/kitty-mcp"> <img src="https://img.shields.io/pypi/pyversions/kitty-mcp.svg" alt="Python versions"> </a> <a href="https://github.com/your-username/kitty-mcp/blob/main/LICENSE"> <img src="https://img.shields.io/github/license/your-username/kitty-mcp.svg" alt="License"> </a> <a href="https://github.com/your-username/kitty-mcp"> <img src="https://img.shields.io/github/stars/your-username/kitty-mcp.svg?style=social" alt="GitHub stars"> </a> </p>
A production-grade Model Context Protocol (MCP) server for controlling kitty terminal instances.
Overview
- Create, manage, and control kitty terminal instances programmatically
- Send text and key combinations to kitty windows
- Capture scrollback buffer content for command output analysis
- Useful for long running processes, analyzing logs, and automation workflows
- All instances launched with
--app-idfor window identification
Features
- Launch kitty instances with unique Unix sockets and app-id
- Send text and key combinations to windows
- Launch windows within existing instances
- Capture scrollback buffer content
- Manage app-ids for window identification
- List and close instances
- JSON structured logging
- Async/await throughout
- Comprehensive error handling
Installation
Prerequisites
- Python 3.11+
- kitty terminal installed and in PATH
- uv (recommended) or pip
Install from PyPI
# Install from PyPI
pip install kitty-mcp
# Install with uv (recommended)
uv add kitty-mcp
Install from Source
# Clone repository
git clone https://github.com/your-username/kitty-mcp.git
cd kitty-mcp
# Install with uv
uv pip install -e ".[dev]"
# Or with pip
pip install -e ".[dev]"
Usage
Running the Server
# Run directly
python -m kitty_mcp
# Or using the installed script
kitty-mcp
The server communicates via stdio (standard input/output) for MCP compatibility.
Configuration
Create a configuration file at ~/.config/kitty-mcp/config.json:
{
"socket_dir": "/tmp/kitty-mcp",
"max_instances": 10,
"socket_permissions": "0600",
"logging": {
"level": "INFO"
},
"kitty": {
"launch_timeout": 30,
"command_timeout": 30
}
}
Configuration options:
socket_dir: Directory for Unix sockets (default:/tmp/kitty-mcp-<uid>)max_instances: Maximum concurrent instances (default: 10, max: 100)socket_permissions: Socket file permissions (default: "0600")logging.level: Log level (DEBUG, INFO, WARNING, ERROR)kitty.launch_timeout: Timeout for launching kitty (seconds)kitty.command_timeout: Timeout for RC commands (seconds)
Available Tools
launch
Launch a new kitty instance with remote control enabled.
Parameters:
app_id(string, required): Unique identifier for the instanceworking_directory(string, optional): Working directorywindow_class(string, optional): Window class (defaults to app_id)
Returns: {"success": true, "app_id": "...", "socket_path": "...", "pid": 1234}
send_text
Send text to a kitty window.
Parameters:
app_id(string, required): Instance identifiertext(string, required): Text to sendmatch(string, optional): Window matching criteria
send_key
Send key combination to a kitty window.
Parameters:
app_id(string, required): Instance identifierkey(string, required): Key combination (e.g., "ctrl+c", "enter")match(string, optional): Window matching criteria
launch_window
Launch a new window in an existing kitty instance.
Parameters:
app_id(string, required): Instance identifiercommand(array, required): Command to runcwd(string, optional): Working directory
get_scrollback
Capture scrollback buffer content.
Parameters:
app_id(string, required): Instance identifierlines(integer, optional): Number of lines (default: all)match(string, optional): Window matching criteria
Returns: {"success": true, "content": "..."}
close
Close a kitty instance.
Parameters:
app_id(string, required): Instance identifierforce(boolean, optional): Force close
get_app_id
Get the app-id of a running kitty instance.
Parameters:
app_id(string, required): Instance identifier
Returns: {"success": true, "app_id": "...", "configured_app_id": "..."}
set_app_id
Update the app-id tracking for an instance.
Parameters:
app_id(string, required): Current instance identifiernew_app_id(string, required): New identifier
list_instances
List all active managed kitty instances.
Returns: {"success": true, "instances": [...]}
Development
Running Tests
# Run all tests
uv run pytest
# Run with coverage
uv run pytest --cov=kitty_mcp --cov-report=term-missing
# Run only unit tests
uv run pytest tests/unit/
# Run only integration tests (requires kitty)
uv run pytest tests/integration/
Quick Start
- Install kitty-mcp and configure with your MCP client (e.g., OpenCode, Claude Desktop)
- Launch a kitty instance:
result = kitty_launch(app_id="my-terminal", working_directory="/home/user") - Send commands:
kitty_send_text(app_id="my-terminal", text="echo 'Hello World!'") kitty_send_key(app_id="my-terminal", key="enter") - Get output:
output = kitty_get_scrollback(app_id="my-terminal", lines=5) print(output["content"]) # Hello World! - Clean up:
kitty_close(app_id="my-terminal")
MCP Client Configuration
OpenCode
Add to .opencode/opencode.jsonc:
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"kitty": {
"type": "local",
"command": ["kitty-mcp"],
"enabled": true
}
}
}
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"kitty": {
"command": "kitty-mcp"
}
}
}
Code Quality
# Type checking
mypy src/
# Linting
ruff check src/
# Format code
ruff format src/
Architecture
┌─────────────────┐
│ MCP Client │ (opencode/Claude Desktop)
│ (stdio IPC) │
└────────┬────────┘
│
▼
┌──────────────────────┐
│ KittyMCP Server │ FastMCP framework
│ ├─ Tool handlers │
│ ├─ State management │
│ ├─ Configuration │
│ └─ Logging │
└────────┬─────────────┘
│ asyncio subprocess
▼
┌──────────────────────┐
│ Kitty RC Commands │ kitten @ --to unix:/socket
└────────┬─────────────┘
│ Unix socket
▼
┌──────────────────────┐
│ Kitty Instance │ allow_remote_control=yes
│ └─ --app-id set │
└──────────────────────┘
Examples
Terminal Automation
# Launch and run commands
kitty_launch(app_id="automation", working_directory="/tmp")
kitty_send_text(app_id="automation", text="ls -la")
kitty_send_key(app_id="automation", key="enter")
output = kitty_get_scrollback(app_id="automation")
print(output["content"])
TUI Application Control
# Control nvim with complex workflows
kitty_launch(app_id="editor", working_directory="/project")
kitty_send_text(app_id="editor", text="nvim")
kitty_send_key(app_id="editor", key="enter")
# Navigate nvim interfaces
kitty_send_key(app_id="editor", key="space")
kitty_send_key(app_id="editor", key="p") # Open projects
kitty_send_key(app_id="editor", key="enter")
Multiple Instance Management
# Launch multiple terminals
for i in range(3):
kitty_launch(app_id=f"terminal-{i}", working_directory=f"/tmp/term-{i}")
# List all instances
instances = kitty_list_instances()
print(f"Active instances: {len(instances['instances'])}")
# Close all
for instance in instances["instances"]:
kitty_close(app_id=instance["app_id"])
Performance
- Command latency: <100ms for RC operations
- Startup time: ~0.5s for MCP server initialization
- Memory usage: <50MB for 10 active instances
- Concurrent support: Up to 100 instances (configurable)
Security
- Socket permissions: User-only (0600) by default
- Command validation: Input sanitization and validation
- Error handling: No sensitive data in logs
- Atomic operations: Safe state persistence
Contributing
Contributions are welcome! Please see CONTRIBUTING.md for guidelines.
License
MIT License - see LICENSE for details.
Changelog
See CHANGELOG.md for version history and release notes.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。