经 AI Skill Hub 精选评估,oh-my-kimi MCP工具 获评「强烈推荐」。这款MCP工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.2 分,适合有一定技术背景的用户使用。
为Kimi AI提供的开源MCP工具,集成稳定的代码执行核心与高级编排能力。支持自主代理编程,提供生产级运行时环境。适合AI编程、自动化代码执行和智能代理开发者。
oh-my-kimi MCP工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
为Kimi AI提供的开源MCP工具,集成稳定的代码执行核心与高级编排能力。支持自主代理编程,提供生产级运行时环境。适合AI编程、自动化代码执行和智能代理开发者。
oh-my-kimi MCP工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/dmae97/oh-my-kimi
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"oh-my-kimi-mcp--": {
"command": "npx",
"args": ["-y", "oh-my-kimi"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 oh-my-kimi MCP工具 执行以下任务... Claude: [自动调用 oh-my-kimi MCP工具 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"oh-my-kimi_mcp__": {
"command": "npx",
"args": ["-y", "oh-my-kimi"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
<p align="center"> <img src="readmeasset/omk-hero.svg" alt="OMK, Open Multi-Agent Kit. Make done pass a check. The mark shows a four-stage control loop with three routed lanes." width="100%" /> </p>
<p align="center"> <strong>Open Multi-Agent Kit</strong><br /> Make “done” pass a check. </p>
<p align="center"> An open-source multi-agent coding CLI for your terminal: switch models in one session and finish a goal only when your test passes. </p>
<p align="center"> <a href="https://www.npmjs.com/package/open-multi-agent-kit"><img alt="npm version" src="https://img.shields.io/npm/v/open-multi-agent-kit?style=flat-square&label=npm" /></a> <a href="https://www.npmjs.com/package/open-multi-agent-kit"><img alt="npm downloads per month" src="https://img.shields.io/npm/dm/open-multi-agent-kit?style=flat-square" /></a><br /> <a href="https://github.com/dmae97/omk/releases/latest"><img alt="latest GitHub release" src="https://img.shields.io/github/v/release/dmae97/omk?style=flat-square&label=release" /></a> <a href="https://github.com/dmae97/omk/actions/workflows/ci.yml"><img alt="CI status" src="https://img.shields.io/github/actions/workflow/status/dmae97/omk/ci.yml?branch=main&style=flat-square&label=CI" /></a> <a href="https://github.com/dmae97/omk/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/dmae97/omk?style=flat-square" /></a><br /> <a href="LICENSE"><img alt="MIT license" src="https://img.shields.io/npm/l/open-multi-agent-kit?style=flat-square" /></a> <img alt="supported Node.js version" src="https://img.shields.io/node/v/open-multi-agent-kit?style=flat-square" /> </p>
<p align="center"> <a href="#quick-start">Quick start</a> · <a href="#what-runs-by-default">Default or opt-in?</a> · <a href="#evidence-and-limits">Evidence and limits</a><br /> <a href="#faq">Choosing OMK</a> · <a href="packages/coding-agent/docs/index.md">Documentation</a> </p>
---
OMK is a lightweight, MIT-licensed AI coding agent for your terminal, written in TypeScript. Switch models in one session, add subagents when you need them, and mark a goal done only when your own check passes. It is a standalone CLI, so it can serve as an open-source alternative to a single-provider agent such as Claude Code.
Requires Node.js 22.19 or newer:
npm install -g open-multi-agent-kit --ignore-scripts
cd your-project
omk
The first run opens /login (subscription, API key, or local model). To try it without a global install: npx --ignore-scripts open-multi-agent-kit. Details in Quick start.
With Node.js 22.19 or newer, run npm install -g open-multi-agent-kit --ignore-scripts, then omk in your project. Without Node.js, use the standalone installer on macOS or Linux: curl -fsSL https://github.com/dmae97/omk/releases/latest/download/install.sh | sh. See Quick start.
Install from npm (Node.js 22.19 or newer), then start in your repository:
npm install -g open-multi-agent-kit --ignore-scripts
cd your-project
omk
Or run npx --ignore-scripts open-multi-agent-kit without a global install.
Or install the standalone binary, which needs no Node.js (macOS, Linux):
curl -fsSL https://github.com/dmae97/omk/releases/latest/download/install.sh | sh
The script checks the download against the release's SHA256SUMS and installs to ~/.omk/bin; add that folder to your PATH as it tells you. Windows builds are attached to each release.
1. On a first run OMK opens /login for you: sign in with a subscription or an API key. An existing Claude Code or Codex CLI login can be reused with omk provider adopt. 2. Run /model to choose another available model at any time. 3. Try a read-only first task:
Summarize this repository and identify the commands used to check it.
Read the project configuration to support your answer. Do not edit files.
After the reply, use /model to choose another configured model and ask it to review the answer. You stay in the same session. This is manual model switching, not parallel agents or an independent correctness check.
Ready to see a test-backed goal? Try the goal demo, then share your result or a reproducible failure in a GitHub issue. If this workflow is useful, star OMK to help other developers find it.
For a bug fix, name the failing behavior and ask for a regression test, the smallest fix, and the check commands with their exit codes. Review the diff and those results yourself; a request to run tests does not enable a verification gate.
Built-in local bash requires sandbox-exec on macOS or bwrap plus unprivileged user namespaces on Linux (sudo apt install bubblewrap on Debian and Ubuntu). It blocks network access and fails closed if the backend is missing. omk doctor checks the runtime, credentials, the model a first session would pick, and the sandbox, and prints the fix for this machine. See Bash sandbox setup, the safety boundary and the full quickstart.
| Package | Purpose |
|---|---|
[open-multi-agent-kit](packages/coding-agent) | Interactive coding-agent CLI and control plane |
[omk-agent-core](packages/agent) | Agent runtime, tool execution, and DAG scheduling |
[omk-ai](packages/ai) | Unified multi-provider LLM API |
[omk-protocol](packages/protocol) | Versioned run contracts and semantic reducers |
[omk-adaptorch-wpl](packages/adaptorch-wpl) | Work Packet Loop runtime |
[omk-book-to-skill](packages/book-to-skill) | Optional document-to-skill compiler |
[omk-tui](packages/tui) | Differential-rendered terminal UI library |
npm install omk-agent-core
npm install omk-ai
npm install omk-protocol
omk install npm:omk-book-to-skill@0.98.3
npm install omk-tui
</details>
OMK is a separate runtime with its own CLI, sessions, tool scheduler, and SDK. One reason to choose it is to build your own acceptance workflow: define required test observations in the run protocol, then have your automation reject fail or inconclusive results. Receipt integrity and freshness still need their own configured checks.
For adding a tool or prompt to an existing OpenCode setup, a plugin may be the smaller change. OMK's protocol is opt-in, not proof of better performance.
专为Kimi优化的MCP工具,融合稳定执行核心与高��编排。项目活跃维护,生态支持完善,是AI代理编程的实用基础设施。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
AI Skill Hub 点评:oh-my-kimi MCP工具 的核心功能完整,质量优秀。对于Claude Desktop / Claude Code 用户来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | oh-my-kimi |
| 原始描述 | 开源MCP工具:Verified agent runtime for Kimi Code. Stable daily-use core with alpha orchestra。⭐77 · TypeScript |
| Topics | MCP协议AI代理编程代码执行自主代理TypeScript |
| GitHub | https://github.com/dmae97/oh-my-kimi |
| License | MIT |
| 语言 | TypeScript |
收录时间:2026-05-17 · 更新时间:2026-05-19 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端