What are the prerequisites?
Node.js ≥ 18, Git (for template cloning), and optionally Docker ≥ 24 for the `localnet` feature.
@zeta-chain
基本信息
Official ZetaChain CLI MCP Server connects the powerful ZetaChain command-line interface directly into your AI editor. Build and interact with cross-chain applications using natural language through 44+ integrated tools.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"zetachain": {
"command": "npx",
"args": [
"-y",
"zetachain",
"mcp"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
A command-line interface for building and interacting with ZetaChain universal applications. It lets developers seamlessly interact with EVM, Solana, Bitcoin, Sui, and TON from a single CLI. The tool is intended for developers building cross-chain dApps on ZetaChain.
Run without installing using npx zetachain@next new, or install globally with npm install -g zetachain@latest. Use zetachain commands such as new, localnet start, and query balances. Execute zetachain docs for full command documentation or use --help with any command.
Node.js ≥ 18, Git (for template cloning), and optionally Docker ≥ 24 for the `localnet` feature.
Run directly with `npx zetachain@next new` or install globally via `npm install -g zetachain@latest`. Use `zetachain@next` for bleeding-edge builds.
EVM, Solana, Bitcoin, Sui, and TON, all accessible from a single CLI.
Yes. The CLI supports making cross-chain calls between Solana, Sui, Bitcoin, TON, and universal apps on ZetaChain.
Yes. Run `zetachain docs` for full command documentation, visit the ZetaChain docs website, or use `--help` with any command.

MCP server for AI Agents — exposes Yocoolab feedback threads and design selections as tools

Verified distributed compute for humans, applications, and agents. Submit Blender, Octane, and video workloads, route them across qualified GPUs, track asynchronous execution, download finished artifacts, and verify FARP
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MCP server that lets Claude Code, Cursor or Codex ask you for API keys on a local page and write them to .env. The agent only ever sees key names.

Know when your AI agents, cron jobs and CI pipelines fail, stall or go quiet. Your agent sets up monitors from a plain description, tells you what is broken and why, reads run history and traces, and writes notes on inci
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