Multi-server MCP AI Agent

Automates your meetings, emails & docs via prompts

Setup Steps

1. Clone and enter the project

git clone https://github.com/IsaacDsouza/mcp-with-multiple-servers
cd mcp-with-multiple-servers

2. Create virtual environment and activate it

  uv venv
  .venv\Scripts\activate

3. Install dependencies:

uv add -r requirements.txt

4. Create a Google Cloud Project and obtain credentials:

   a. Create a Google Cloud Project:

   • Go to Google Cloud Console
   • Create a new project or select an existing one
   • Enable the Gmail API for your project

   b. Create OAuth 2.0 Credentials:

   • Go to "APIs & Services" > "Credentials"
   • Click "Create Credentials" > "OAuth client ID"
   • Choose either "Desktop app" or "Web application" as application type
   • Give it a name and click "Create"
   • For Web application, add http://localhost:3000/oauth2callback to the authorized redirect URIs
   • Download the JSON file of your client's OAuth keys
   • Rename the key file to gcp-oauth.keys.json

5. Run Authentication:

   You can authenticate in two ways:

   a. Global Authentication (Recommended):

   # First time: Place gcp-oauth.keys.json in your home directory's .gmail-mcp folder
   mkdir -p ~/.gmail-mcp
   mv gcp-oauth.keys.json ~/.gmail-mcp/
   
   # Run authentication from anywhere
   npx @gongrzhe/server-gmail-autoauth-mcp auth
   

   b. Local Authentication:

   # Place gcp-oauth.keys.json in your current directory
   # The file will be automatically copied to global config
   npx @gongrzhe/server-gmail-autoauth-mcp auth
   

   The authentication process will:

   • Look for gcp-oauth.keys.json in the current directory or ~/.gmail-mcp/

   • If found in current directory, copy it to ~/.gmail-mcp/

   • Open your default browser for Google authentication

   • Save credentials as ~/.gmail-mcp/credentials.json

   Note:

   • After successful authentication, credentials are stored globally in ~/.gmail-mcp/ and can be used from any directory
   • Both Desktop app and Web application credentials are supported
   • For Web application credentials, make sure to add http://localhost:3000/oauth2callback to your authorized redirect URIs

6. Run Token generator:

uv run tokengen.py

7. Run Application

uv run app.py