Kaiza MCP Server
Enables secure, audited file operations with LLMs by enforcing implementation plans, restricting writes to approved file scopes, and maintaining a tamper-evident audit log with stub detection.
README
KAIZA MCP: Canonical Workflow (Authoritative)
Enterprise Governance Gateway for LLM-Driven Development
KAIZA is a high-assurance Model Context Protocol (MCP) implementation designed to enforce strict role boundaries, deterministic execution, and cryptographic auditability. It transforms an LLM agent from an unconstrained generator into a governed Execution Authority.
🛠️ Technical Setup
Prerequisites
- Node.js: version 18 or later.
- MCP Client: compatible client like Claude Desktop or Windsurf.
Installation
git clone <repository-url> KAIZA-MCP-server
cd KAIZA-MCP-server
npm install
Configuration
Add KAIZA to your MCP client configuration (e.g., claude_desktop_config.json or mcp_config.json):
{
"mcpServers": {
"kaiza": {
"command": "node",
"args": ["/absolute/path/to/KAIZA-MCP-server/server.js"],
"env": {
"KAIZA_BOOTSTRAP_SECRET": "your-secure-secret-here"
}
}
}
}
[!IMPORTANT] Change
/absolute/path/to/KAIZA-MCP-serverto the actual location on your machine.KAIZA_BOOTSTRAP_SECRETis required for initializing fresh mission roots.
🛡️ The Authoritative Invariants
- Mandatory Ignition: No operations are permitted without a
begin_sessioncall locking theworkspace_root. - Role Purity: Tools are manifested dynamically based on the active role (ANTIGRAVITY for Planning, WINDSURF for Execution).
- Hash-Only addressing: Plans are identified strictly by their SHA256 content hash (
<HASH>.md). - Canonical Metadata: Every write operation must include mandatory role-specific metadata for the audit chain.
- Zero Discovery: No directory listing allowed outside of explicit governance discovery (
list_plans).
🚀 The Lifecycle
1. Session Ignition
Every session must begin with begin_session. This locks the repository root and initializes the path resolver.
2. Role Selection
- ANTIGRAVITY: The Planning Role. Focuses on architectural intent and semantic contracts.
- WINDSURF: The Execution Role. Focuses on mechanical implementation of approved plans.
3. Plan Authorization
All modifications must target an APPROVED plan. A plan is approved if it contains the canonical header:
<!--
KAIZA_PLAN_HASH: <64-char-sha256-hash>
ROLE: <ANTIGRAVITY|WINDSURF>
STATUS: APPROVED
-->
🏗️ Role: ANTIGRAVITY (The Architect)
Purpose: Define the mission parameters, architectural boundaries, and implementation contracts.
Example Prompt
"🧠 I am in the ANTIGRAVITY role. I need to initialize a session at
/home/lin/Documents/my-project. Once initialized, I will read the requirements, calllist_plansto see existing state, and then usebootstrap_create_foundation_planto establish a new governance plan for the feature I'm designing. I will ensure the plan content includes theSTATUS: APPROVEDheader and the SHA256 hash of the content."
Planning Tools
list_plans: Discover approved plans in the repository.read_file: Safe, audited reading of existing code and docs.bootstrap_create_foundation_plan: Create the initial approved mission contract.
🔨 Role: WINDSURF (The Builder)
Purpose: Execute the changes specified in approved plans with absolute mechanical precision.
Example Prompt
"⚙️ I am in the WINDSURF role. I need to begin a session at
/home/lin/Documents/my-project. After ignition, I will satisfy the prompt gate viaread_prompt({ name: 'WINDSURF_CANONICAL' }). I will then list plans to find the approved hash for the task. Finally, I will implement the changes usingwrite_file, ensuring I provide theplanhash and all required role metadata (role,purpose,connectedVia, etc.)."
Execution Tools
read_prompt: Unlock write capabilities by acknowledging the canonical protocol.write_file: Authoritative audited write. Requires a valid plan hash and full metadata.read_audit_log: Inspect the session's hash chain for verification.
🛠️ Tool Reference (Core)
begin_session
Locks the session to an absolute workspace_root. MANDATORY FIRST CALL.
write_file
The primary mutation tool.
- Plan Hash: Must match a file in
docs/plans/<HASH>.md. - Metadata: Requires
role,purpose,connectedVia,registeredIn,failureModes. - Stub Detector: Automatically rejects code containing
TODO,FIXME, or placeholder logic.
📁 Repository Governance
Plans and audit data are stored in canonical locations:
- Plans:
docs/plans/(Hash-addressed.mdfiles). - Audit Log:
audit-log.jsonl(Append-only operation history). - Governance:
governance.json(Maintains bootstrap state).
🧪 Verification
Ensure your environment is compliant by running:
npm run verify
This executes the full suite of bootstrap, enforcement, and security penetration tests.
KAIZA MCP: Refining the boundary between intelligence and execution.
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。