AIBase
EN
Explore
Cli
C

Cli

ZetaChain CLI is a multi - functional command - line tool for building and interacting with ZetaChain cross - chain applications. It supports multiple blockchain networks such as EVM, Solana, Bitcoin, Sui, and TON, and provides functions such as project scaffolding, local development environment, cross - chain query, and transactions.
Developer toolsArtificial intelligence chatbots#Cross - chain development#Blockchain tools#Multi - chain interaction#Smart contracts.TypeScript
2.5 points
7.2K
Open Site

Overview

Content Details

Alternatives

What is ZetaChain CLI MCP Server?

ZetaChain CLI MCP Server is a service based on the Model Context Protocol that exposes the functionality of the ZetaChain command - line tool to AI assistants. Through this server, AI assistants can directly execute ZetaChain commands in your development environment, helping you build and test cross - chain applications without manually entering complex commands.

How to use ZetaChain MCP Server?

You can use it in two ways: 1) Local installation - Install on your local computer to gain full access to the file system; 2) Cloud installation - Quickly deploy through Smithery, but with limited functionality. After installation, restart your AI editor to start using it.

Use cases

It is suitable for developers who want to conduct cross - chain development with the assistance of AI assistants, especially in scenarios where they need to frequently execute ZetaChain commands, query blockchain status, deploy smart contracts, or test cross - chain interactions.

Main Features

AI Assistant Integration
Seamlessly integrate into AI development tools such as Claude Code and Cursor, allowing AI assistants to directly execute ZetaChain commands
Local Environment Access
The local installation version can fully access your file system, account configuration, and local test network
Cross - Chain Operation Support
Supports all cross - chain functions of ZetaChain CLI, including interactions with EVM, Solana, Bitcoin, Sui, and TON
Fast Deployment Option
Provides a one - click cloud installation option, allowing you to quickly start using it without local configuration
Project Management
Create, manage, and deploy ZetaChain project templates through an AI assistant
Advantages
Improve development efficiency: AI assistants can quickly execute complex ZetaChain commands, reducing manual input
Lower the learning curve: Developers can interact with AI through natural language without memorizing all command parameters
Full local access: The local installation version can access all local resources and configurations
Cross - platform support: Supports multiple AI development tools and editors
Real - time interaction: AI assistants can respond to development needs in real - time and provide immediate feedback
Limitations
Limited functionality in the cloud version: Cloud installation cannot access the local file system and accounts
Dependence on AI tools: Requires the use of supported AI editors
Network requirements: The cloud version requires a stable network connection
Configuration complexity: Local installation requires correct configuration of Node.js and dependent environments
Version compatibility: It is necessary to ensure that the CLI version is compatible with the MCP server

How to Use

Install ZetaChain CLI
First, you need to install the ZetaChain CLI tool on your local computer
Install the MCP Server
Install the corresponding MCP server configuration according to the AI editor you use
Restart the AI Editor
After installation, restart your Claude Code or Cursor editor to activate the MCP server
Start Using
In the AI editor, you can request to execute ZetaChain commands through natural language, for example: 'Create a new ZetaChain project'

Usage Examples

Create a New Project
Quickly create a new ZetaChain cross - chain application project through an AI assistant
Query Blockchain Status
Query cross - chain balances or transaction status without leaving the editor
Start a Local Test Environment
Quickly start a local multi - chain test network for development and testing
Deploy a Smart Contract
Assist in deploying cross - chain smart contracts through an AI assistant

Frequently Asked Questions

What is the difference between local installation and cloud installation?
Which AI editors are supported?
Why can't the AI assistant recognize ZetaChain commands after installation?
Is the MCP server secure? Will it leak my private key?
How to update the MCP server?
Can the MCP configuration be shared in a team project?

Related Resources

ZetaChain Official Documentation
Complete ZetaChain technical documentation and API reference
CLI Detailed Documentation
Detailed usage instructions for ZetaChain CLI commands
Smithery Cloud Installation
One - click installation of the cloud version of the ZetaChain CLI MCP server
ZetaChain Discord Community
Join the developer community to get help and the latest information
GitHub Repository
ZetaChain open - source code and example projects
MCP Protocol Documentation
Official technical specification of the Model Context Protocol

Installation

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

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
7.9K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.4K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.2K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
8.7K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
6.6K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
7.3K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.7K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
8.8K
4 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
19.1K
4.5 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
30.3K
5 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
21.9K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
62.7K
4.3 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#
27.1K
5 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
58.1K
4.5 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
19.9K
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
41.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase