Lazy Terminal
L

Lazy Terminal

Lazy Terminal is an intelligent command-line assistant that connects language models with external tools through the MCP protocol to achieve dynamic command routing and terminal automation.
2 points
6.7K

What is Lazy Terminal?

Lazy Terminal is an intelligent command-line assistant that connects language models with external tools through the Modular Component Protocol (MCP). It can automatically determine whether to directly answer user queries or forward them to registered tools for processing, enabling automated terminal operations.

How to use Lazy Terminal?

After installation, simply run the main program to start interacting with the assistant. It can handle natural language instructions and automatically convert them into corresponding command-line operations or tool calls.

Applicable scenarios

Suitable for users who need to use the command line frequently but want to simplify the operation process, or work scenarios that require automatically converting natural language instructions into specific command-line operations.

Main features

Dynamic tool routing
Automatically select to directly respond or call the appropriate tool to handle user requests
Context memory
Retain the context of 50 interactions by default to maintain conversation coherence
Multi-model support
Easily integrate multiple language models through Coagent
Secure Bash execution
Securely run controlled bash scripts through MCP tools
Advantages
Automate complex command-line operations to improve efficiency
Natural language interaction to lower the usage threshold
Modular design for easy expansion of new functions
Secure execution mechanism to prevent accidental operations
Limitations
Tools and models need to be pre-configured
Complex operations may require multiple confirmations
Some advanced features require a technical background to fully utilize

How to use

Install dependencies
Ensure that all necessary Python dependencies are installed
Configure the model
Edit the config/models.yaml file to add model credentials
Configure the MCP server
Edit the config/mcp_servers.yaml to list available MCP servers
Run the program
Start the main program to start interacting

Usage examples

File list operation
List specific types of files in a specified directory and save the results
Project initialization
Create a new project directory structure

Frequently Asked Questions

How to add support for new tools?
Can multiple language models be used simultaneously?
Is it safe to execute bash scripts?

Related resources

Coagent project
Multi-model integration framework
MCP protocol
Modular component protocol documentation
Installation tutorial video
Video guide for Lazy Terminal installation and configuration

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
10.4K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
8.9K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.7K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
8.9K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
10.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
9.9K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
9.7K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
39.0K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
23.7K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
81.2K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
27.2K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
69.4K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
37.3K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.9K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
56.2K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase