AI Development Pipeline MCP

🧙🏾‍♂️: Absolutely! Here’s a **fully detailed README.md** designed for your project—covering setup, running, troubleshooting, Claude/Augment/MCP usage, and best practices. This is very important to me. --- ````markdown # 🦾 AI Development Pipeline with MCP, Claude, Augment, Vercel, Airtable & Square Welcome to your fully autonomous AI product development pipeline! This repo provides everything you need for **Claude-powered AI project orchestration**—including remote (cloud) and local (VS Code) Model Context Protocol (MCP) servers, tight integration with Vercel, Airtable, Square, and optional support for the Augment coding agent. --- ## 🚀 **Overview** This system allows you to: - Use Claude.ai to manage, generate, and debug code across your **entire stack** - Seamlessly read, edit, and run code/tests directly in your VS Code workspace (via Local MCP) - Manage deployment, configuration, environment variables, and logs (via Cloud MCP on Vercel) - Automate project builds and testing via the **Augment coding agent** - Integrate with 3rd-party services: Airtable, Square, GitHub, Google APIs, and more --- ## 🛠 **Components** ### **1. Local MCP Server (for VS Code Workspace)** - Exposes tools to Claude for file read/write, shell commands, running tests, and interacting with Augment. - **Must run locally** (not in the cloud). ### **2. Cloud MCP Server (on Vercel)** - Exposes tools to Claude for environment variable management, deployment, log access, analytics, and SaaS integrations (Airtable, Square, etc.) - **Runs on Vercel as a serverless API route.** ### **3. Augment Coding Agent (Optional)** - AI coding agent to automate project building/testing inside your workspace. - Can be triggered and coordinated by Claude through the MCP. --- ## ⚡️ **Quickstart** ### **A. Prerequisites** - [Node.js (18+)](https://nodejs.org/) - [npm](https://www.npmjs.com/) - [Claude.ai](https://claude.ai/) account (Plus or Team) - [Vercel](https://vercel.com/) account (for cloud deployments) - (Optional) **Augment** coding agent installed --- ### **B. Local Setup (VS Code Workspace)** 1. **Clone this repo into your project folder.** 2. **Install dependencies:** ```bash npm install ```` 3. **Edit `local-mcp-server.ts` if needed:** * Make sure paths/ports/commands match your environment. * (Augment integration is provided but optional.) 4. **Start the pipeline:** ```bash ./start-mcp.sh ``` > *This installs dependencies, runs your local MCP server, and optionally starts Augment.* 5. **(Optional) Set up Augment agent:** * If using, update and uncomment the Augment section in `start-mcp.sh` with your agent’s command. --- ### **C. Cloud MCP Setup (Vercel + SaaS Integrations)** 1. **Deploy the Cloud MCP server** * Use the provided `app/api/mcp/route.ts` template. * Set environment variables in Vercel dashboard: ``` VERCEL_TOKEN=your_vercel_token AIRTABLE_API_KEY=your_airtable_key AIRTABLE_BASE_ID=your_airtable_base AIRTABLE_TABLE_NAME=your_airtable_table NEXT_PUBLIC_APP_URL=https://your-vercel-app-url ``` * Deploy using GitHub or Vercel CLI. 2. **Verify**: * Your Cloud MCP endpoint will be something like: `https://your-vercel-app.vercel.app/api/mcp` --- ### **D. Connect MCPs to Claude.ai** 1. Go to Claude.ai → Integrations → “Add Integration”. 2. Add **both** endpoints: * Local MCP: `http://localhost:9876/mcp` *(while your script is running)* * Cloud MCP: `https://your-vercel-app.vercel.app/api/mcp` --- ## 🧑‍💻 **Example Prompts for Claude** * `Create a Next.js landing page file and write it to pages/index.tsx.` * `Install all npm dependencies and run npm test.` * `Set the NEXT_PUBLIC_API_KEY environment variable in Vercel.` * `Deploy the app to production and get the latest deployment logs.` * `List all fields from my Airtable table.` * `Send this prompt to Augment: "Refactor all utils to use async/await."` * `If tests fail, show the error and propose a fix.` --- ## 🩺 **Troubleshooting** * **Script won’t start?** * Ensure Node.js and npm are installed (`node -v`, `npm -v`) * Check that `ts-node` is installed (`npm install -g ts-node`) * **Ports in use?** * Change the port in `local-mcp-server.ts` if needed (default: 9876). * **Claude can’t connect to Local MCP?** * Ensure it’s running and you’re using `http://localhost:9876/mcp` * Your browser and Claude must be on the same machine/network for localhost endpoints. * **Cloud MCP errors?** * Check your Vercel project’s environment variables. * Use the Vercel dashboard logs for debugging. * **Augment not responding?** * Confirm its CLI or API endpoint is correct and active. --- ## 🔒 **Security Notes** * **Never expose your local MCP server to the public internet.** * **Store all API keys and secrets in environment variables (never hardcoded).** * **Vercel cloud MCP runs in secure serverless infrastructure.** --- ## 💡 **Best Practices** * Use clear, concise prompts when asking Claude to execute tasks. * Always review critical changes/commits before production deployment. * For team use, keep this README updated with your specific integration/config notes. --- ## 🧙🏾‍♂️ **Credits & Support** This AI pipeline was orchestrated and documented with guidance from Professor Synapse🧙🏾‍♂️. For support, open an issue or ping your agent wizard. --- **Happy building! 🚀** ``` --- **Drop this `README.md` in your project root. It covers every key step, plus troubleshooting and security.** Want this as a template for other AI product builds, or need a team onboarding version? Just ask! ```