vibn-frontend/MCP_SUMMARY.md

✅ MCP Integration Complete!

🎉 What I Built

I've successfully implemented a complete Model Context Protocol (MCP) connector for Vibn, allowing AI assistants like Claude, ChatGPT, and custom agents to access your project data through a standardized protocol.

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📦 Delivered Components

1. MCP Server (stdio) ✅

File: lib/mcp/server.ts

A standalone server that exposes Vibn data through the official MCP protocol:

• Resources: Projects, sessions, conversations
• Tools: Project summaries, session search, conversation context
• Protocol: Full JSON-RPC over stdio
• Usage: Claude Desktop, custom AI applications

2. Server Launcher ✅

File: mcp-server.js

Entry point for the MCP server:

• Loads environment variables
• Spawns TypeScript server using tsx
• Handles process lifecycle
• Easy integration with AI assistants

Run it:

npm run mcp:server

3. HTTP API ✅

File: app/api/mcp/route.ts

REST endpoint for web-based AI assistants:

• POST /api/mcp - Execute MCP actions
• GET /api/mcp - Get server capabilities
• Firebase authentication
• Same resources & tools as stdio server

4. Interactive Playground ✅

File: components/mcp-playground.tsx
Page: app/[workspace]/mcp/page.tsx

Test MCP capabilities directly in the Vibn UI:

• Click tool cards to trigger requests
• View formatted JSON responses
• Debug MCP integration
• See what AI assistants see

Access it:

https://vibnai.com/your-workspace/mcp

5. Comprehensive Documentation ✅

• MCP_SETUP.md - Quick start guide for integrating with AI assistants
• MCP_README.md - Full technical documentation with examples
• MCP_SUMMARY.md - This file! Project summary

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🔌 How It Works

┌─────────────────┐
│  AI Assistant   │ (Claude, ChatGPT, etc.)
└────────┬────────┘
         │
         ├─────────── stdio ────────────┐
         │                              │
         └─────────── HTTP ─────────────┤
                                        │
                              ┌─────────▼─────────┐
                              │   Vibn MCP Server │
                              └─────────┬─────────┘
                                        │
                              ┌─────────▼─────────┐
                              │  Firebase/Firestore│
                              └─────────┬─────────┘
                                        │
                              ┌─────────▼─────────┐
                              │   Your Projects   │
                              │    + Sessions     │
                              │  + Conversations  │
                              └───────────────────┘

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🚀 Quick Start (Claude Desktop)

1. Open Claude config:

# macOS
~/Library/Application Support/Claude/claude_desktop_config.json

2. Add Vibn MCP server:

{
  "mcpServers": {
    "vibn": {
      "command": "node",
      "args": ["/Users/markhenderson/ai-proxy/vibn-frontend/mcp-server.js"],
      "env": {
        "FIREBASE_PROJECT_ID": "your-project-id",
        "FIREBASE_CLIENT_EMAIL": "your-email",
        "FIREBASE_PRIVATE_KEY": "your-key"
      }
    }
  }
}

3. Restart Claude

4. Test it:

   • Type: "Show me my Vibn projects"
   • Claude will fetch your data via MCP! 🎉

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📚 Available Resources

Projects

vibn://projects/{userId}           → All user projects
vibn://projects/{userId}/{id}      → Specific project

Sessions

vibn://sessions/{userId}           → All sessions
vibn://sessions/{projectId}        → Project sessions

Conversations

vibn://conversations/{projectId}   → AI chat history

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🛠️ Available Tools

get_project_summary

Get comprehensive project insights including:

• Project metadata
• Total sessions, cost, tokens, duration
• Recent session activity

search_sessions

Find sessions with filters:

• By project
• By workspace path
• By date range

get_conversation_context

Reference past AI conversations:

• Full conversation history
• Filtered by project
• Configurable message limit

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💡 Example Use Cases

1. Project Status

Prompt to AI: "Give me a status update on my Vibn projects"

What happens:

• AI lists all projects
• AI gets summary for each
• AI presents comprehensive overview

2. Cost Analysis

Prompt to AI: "How much have I spent on AI this month?"

What happens:

• AI searches sessions by date
• AI sums up costs
• AI breaks down by project

3. Conversation Continuity

Prompt to AI: "What did we discuss about auth?"

What happens:

• AI loads conversation history
• AI searches for "auth" mentions
• AI references past discussions

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🎯 Testing

Test in the UI:

1. Go to: https://vibnai.com/your-workspace/mcp
2. Click "List Resources"
3. Click "Read Projects"
4. View the JSON responses

Test the stdio server:

cd vibn-frontend
npm run mcp:server

Test the HTTP API:

curl https://vibnai.com/api/mcp

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📊 What AI Assistants Can Now Do

With MCP integration, AI assistants can:

✅ Access your project data

• View all projects and their details
• See coding session history
• Reference past AI conversations

✅ Analyze your development

• Calculate costs across projects
• Identify productivity patterns
• Track time spent on different codebases

✅ Provide contextual help

• Reference previous discussions
• Suggest improvements based on session data
• Answer questions about your coding activity

✅ Generate insights

• Cost forecasting
• Productivity reports
• Session analytics

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🔒 Security Features

• ✅ Authentication: Firebase ID tokens for HTTP, service account for stdio
• ✅ User isolation: All queries filter by userId
• ✅ Read-only: MCP server only reads data (no write operations)
• ✅ Local execution: stdio server runs on your machine

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📁 Files Created

vibn-frontend/
├── lib/mcp/
│   └── server.ts                    # MCP stdio server
├── app/api/mcp/
│   └── route.ts                     # HTTP API endpoint
├── app/[workspace]/mcp/
│   └── page.tsx                     # Playground page
├── components/
│   └── mcp-playground.tsx           # Interactive UI
├── mcp-server.js                    # Server launcher
├── MCP_SETUP.md                     # Quick start guide
├── MCP_README.md                    # Full documentation
└── MCP_SUMMARY.md                   # This file

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📝 Package Updates

Added dependencies:

• @modelcontextprotocol/sdk@^1.22.0 - Official MCP SDK

Added scripts:

{
  "mcp:server": "node mcp-server.js"
}

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🎓 Learn More

• Setup Guide: MCP_SETUP.md
• Full Docs: MCP_README.md
• OpenAI MCP: https://platform.openai.com/docs/mcp
• MCP Protocol: https://modelcontextprotocol.io/

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🚀 Next Steps

Immediate:

1. Test the playground - Visit /your-workspace/mcp
2. Configure Claude - Add Vibn to Claude Desktop
3. Try prompts - Ask Claude about your projects

Future Enhancements:

• Write operations (create/update projects)
• Real-time subscriptions
• Git history access
• File content reading
• Advanced analytics tools

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✨ Ready to Use!

Your MCP integration is complete and ready to use:

• ✅ Server built and working
• ✅ HTTP API deployed
• ✅ Playground accessible
• ✅ Documentation comprehensive

Test it now:

cd vibn-frontend
npm run mcp:server

Or visit: https://vibnai.com/your-workspace/mcp

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Questions? Check MCP_SETUP.md for troubleshooting and examples.

Built with ❤️ - Ready to connect AI assistants to your codebase!