Waferlock Robot MCP
This server provides access to Waferlock product manuals through a Model Context Protocol (MCP) interface that bridges to a REST API hosted on Heroku.
Core Capabilities:
List all manuals - Retrieve a complete list of all uploaded Waferlock product manuals
Get manual details - Access detailed information about specific manuals using their unique file ID
Search manuals - Find manuals by searching filenames with text queries
Technical Features:
Secure API authentication via token without exposing AWS credentials
Compatible with MCP-supported clients like ChatGPT Desktop
Supports optional MCP-level token authentication for additional security
Connects to a Waferlock Robot MCP REST API hosted on Heroku to access and manage Waferlock product manuals, including listing, searching, and retrieving manual information.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Waferlock Robot MCPlist all available robots in my account"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Waferlock MCP CLI (Public)
這個專案提供一個獨立的 CLI，透過 Waferlock Robot MCP 在 Heroku 上的公開 REST API，將資料橋接到支援 Model Context Protocol (MCP) 的客戶端（例如 ChatGPT Desktop）。使用者只需要 API URL 與 Token，即可在本地啟動 stdio 版 MCP 伺服器，不需暴露 AWS 憑證。
安裝與使用
1. 取得程式碼
git clone https://github.com/jasonlcs/waferlock-robot-mcp-public.git
cd waferlock-robot-mcp-public2. 編譯
npm install
npm run build3. 直接執行 (本地調試)
node dist/cli.js \
--api-url https://waferlock-robot-mcp-1177c207c107.herokuapp.com \
--api-token <你的 API Token> \
--mcp-token <選填：要求 MCP 客戶端提供的 Token>--server-name：覆寫 MCP server 名稱--server-version：覆寫 MCP server 版本--mcp-token：若指定，MCP 客戶端必須提供同樣的 Token（透過環境變數或連線設定）
4. 透過 npx 執行 (Git 來源)
建立 tag 後（例如 git tag v1.0.0 && git push origin v1.0.0），即可提供使用者以下指令：
npx --yes github:jasonlcs/waferlock-robot-mcp-public#v1.0.0 \
--api-url https://waferlock-robot-mcp-1177c207c107.herokuapp.com \
--api-token <你的 API Token> \
--mcp-token <選填>5. ChatGPT Desktop 設定範例
{
"mcpServers": {
"waferlock-robot": {
"command": "npx",
"args": [
"--yes",
"github:jasonlcs/waferlock-robot-mcp-public#v1.0.0",
"--api-url", "https://waferlock-robot-mcp-1177c207c107.herokuapp.com",
"--api-token", "<你的 API Token>",
"--mcp-token", "<選填>"
]
}
}
}將 jasonlcs、waferlock-robot-mcp-1177c207c107、<你的 API Token> 改成實際值即可使用。
專案結構
waferlock-robot-mcp-public/
├── package.json
├── tsconfig.json
├── README.md
└── src
├── cli.ts
└── services
├── manualApiProvider.ts
├── manualProvider.ts
└── mcpService.ts開發注意事項
需要 Node.js 18+（提供原生
fetch）。CLI 會優先讀取命令列參數（
--api-url、--api-token等），若未提供則回退至環境變數API_URL、API_TOKEN、MCP_TOKEN。內建
dotenv，會載入.env（選用）。專案使用 TypeScript；若想讓使用者省去編譯步驟，可在 repo 中同步
dist/，或加上 npmprepare腳本在安裝時自動編譯。
後續步驟
npm run build確認dist/生成。必要時chmod +x dist/cli.js。git add . && git commit -m "Initial public CLI"，再git push -u origin main。建立版本 tag（例：
git tag v1.0.0 && git push origin v1.0.0）。在主專案或文件提到此 CLI，指引用法（
npx github:...或node dist/cli.js ...）。
授權
ISC License
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