AVA

This project implements a minimal Model Context Protocol (MCP) server named AVA, exposing a single tool: write_email_draft.

The tool creates Gmail drafts from structured input, allowing AI agents like Claude to generate email content safely — without sending anything. This enables reviewable automation for follow-ups, summaries, or outreach.

It integrates with the Gmail API using OAuth2 authentication, ensuring secure access and user control. The server responds with metadata including the draft ID, making it ideal for real-world AI workflows.

---

Architecture Overview

Claude AI → MCP Tool Call → AVA Server → Gmail API → Draft Created

┌────────────────────────────┐
│        Claude AI           │
│       (MCP client)         │
└────────────┬───────────────┘
             │  Tool Call: write_email_draft
             ▼
┌────────────────────────────┐
│      MCP Server (AVA)      │
│  mcp-server-draft.py       │
│  └── gmail.py              │
│  └── .env config           │
└────────────┬───────────────┘
             │  Uses credentials from .env
             ▼
┌────────────────────────────┐
│  Gmail API (OAuth2 Auth)   │
│  via Google Cloud Console  │
│  Project: ava-mcp-475222   │
└────────────┬───────────────┘
             │  Creates draft
             ▼
┌────────────────────────────┐
│     Gmail Draft Created    │
│                            │
└────────────────────────────┘

• Claude AI: Sends structured tool calls via MCP
• AVA Server: Receives calls, loads credentials from .env, and handles logic via gmail.py
• Google Cloud Console: Hosts OAuth2 credentials (credentials.json)
• Gmail API: Creates draft and returns metadata

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Features

• MCP-compliant server using FastMCP
• Gmail API integration via OAuth2
• Secure credential handling via .env
• Compatible with Claude and MCP Inspector

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Project Structure

mcp-email-draft/
├── .env                    # Gmail credentials and sender email
├── mcp-server-draft.py     # MCP server exposing the tool
├── gmail.py               # Gmail API logic
├── pyproject.toml         # Project metadata and dependencies
├── credentials.json       # OAuth2 client credentials
├── token.json             # Gmail API token
├── README.md              # Documentation

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Setup Instructions

1. Create project folder

cd C:/Users/carll/Desktop
mkdir mcp-email-draft
cd mcp-email-draft

2. Install uv

curl -Ls https://astral.sh/uv/install.sh | sh

3. Install dependencies

uv pip install -r pyproject.toml

Or manually:

uv pip install google-api-python-client google-auth-oauthlib python-dotenv mcp[cli]

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Gmail API Setup

1. Go to Google Cloud Console
2. Create OAuth credentials for a desktop app
3. Download credentials.json and place it in the project root
4. Run the server once to trigger OAuth flow and generate token.json

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.env File

[email protected]
GOOGLE_CREDENTIALS_PATH=C:/Users/carll/Desktop/mcp-email-draft/credentials.json
GOOGLE_TOKEN_PATH=C:/Users/carll/Desktop/mcp-email-draft/token.json

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Claude Integration

Go to Claude Connectors and use:

{
  "mcpServers": {
    "AVA": {
      "command": "C:/Users/carll/.local/bin/uv.exe",
      "args": [
        "--directory",
        "C:/Users/carll/Desktop/mcp-email-draft",
        "run",
        "mcp-server-draft.py"
      ]
    }
  }
}

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Usage Example

{
  "recipient_email": "[email protected]",
  "subject": "Follow-up on our meeting",
  "body": "Hi Carllos, thank you again for your time today. Looking forward to the next steps!"
}

Claude will return the Gmail draft ID and metadata. Next: Using Discord

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License

This project is for demonstration and evaluation purposes only.
No affiliation with Google or Anthropic.