## Overview

Integrations extend your space capabilities by connecting external tools and services. Connect email, communication platforms, project management tools, and custom services to enhance your AI workflows.

## Available Integrations

### Gmail

Access and search your email conversations

### Slack

Connect team communication channels

### LinkedIn

Access professional network data

### MCP Tools

Custom integrations via Model Context Protocol

## Gmail Integration

Connect your Gmail account to enable email-based AI assistance:

### Setup

1. Navigate to Integrations  
   Open your space settings and go to the Integrations section  
2. Select Gmail  
   Click “Connect Gmail” button  
3. Authorize Access  
   Sign in to your Google account and grant permissions  
4. Configure Settings  
   - Select which labels to sync  
   - Set sync frequency  
   - Configure privacy settings

### Capabilities

- **Email Search**: Find emails within conversations  
- **Email Context**: Provide email threads as context to AI  
- **Smart Summaries**: Generate email summaries  
- **Response Drafting**: AI-assisted email composition  
- **Thread Analysis**: Understand email conversation flow

### Privacy & Security

- Read-only access by default  
- Selective label access  
- No automatic email sending  
- Organization admin approval required  
- Audit trail maintained

## Slack Integration

Connect Slack to bring team communications into your AI workflow:

### Setup

1. Access Integrations  
   Navigate to space settings → Integrations  
2. Connect Slack  
   Click “Connect Slack” button  
3. Authorize Workspace  
   Approve Pulze app in your Slack workspace  
4. Select Channels  
   Choose which channels to make accessible

### Features

- **Channel Search**: Search across connected Slack channels  
- **Message Context**: Reference Slack discussions in AI conversations  
- **Team Insights**: Analyze team communication patterns  
- **Notification Integration**: Get Pulze notifications in Slack  
- **Bot Commands**: Interact with Pulze from Slack

## LinkedIn Integration

Access LinkedIn data for research and outreach:

### Setup

1. Navigate to Integrations  
   Go to Integrations in space settings  
2. Connect LinkedIn  
   Click “Connect LinkedIn” button  
3. Authorize  
   Sign in and grant necessary permissions  
4. Configure Access  
   Set privacy and data access preferences

### Use Cases

- **Profile Research**: Analyze LinkedIn profiles  
- **Network Analysis**: Understand connection patterns  
- **Content Research**: Access shared content and posts  
- **Outreach Assistance**: Draft personalized messages  
- **Company Intelligence**: Research organizations
  
LinkedIn integration is organization-managed and requires admin approval.

## MCP (Model Context Protocol) Tools

Connect custom tools and services using the Model Context Protocol:

### What is MCP?

MCP is a standardized protocol for connecting external tools and data sources to AI models. It enables:

- **Custom Tool Integration**: Connect proprietary systems  
- **API Wrappers**: Expose APIs as AI-accessible tools  
- **Data Sources**: Connect databases and data stores  
- **Service Integration**: Link external services

### Setting Up MCP Tools

1. Configure MCP Server  
   Set up your MCP server with custom tools  
2. Register with Pulze  
   Add MCP server configuration to your space  
3. Test Connection  
   Verify tools are accessible  
4. Enable for Assistants  
   Allow assistants to use MCP tools

### Example MCP Tools

- **Database Queries**: Direct database access for AI  
- **Internal APIs**: Company-specific API tools  
- **File Systems**: Access to document repositories  
- **Custom Services**: Proprietary business tools  
- **Third-party APIs**: Weather, maps, stock data, etc.

## Integration Management

### Viewing Integrations

The Integrations panel shows:

- **Connected Services**: Active integrations  
- **Status**: Connection health  
- **Last Sync**: When data was last updated  
- **Usage**: How often the integration is used  
- **Settings**: Configuration options

### Disconnecting Integrations

To remove an integration:

1. Navigate to the Integrations section  
2. Find the integration to remove  
3. Click “Disconnect”  
4. Confirm the action

Disconnecting an integration will remove access to that service’s data from all conversations and assistants in the space.

### Reconnecting

If an integration fails:

1. Check connection status  
2. Click “Reconnect”  
3. Reauthorize if needed  
4. Verify connectivity

## Integration Permissions

Different integrations require different permission levels:

| Integration | Required Permission | Admin Approval |
| --- | --- | --- |
| Gmail | Read emails | Yes |
| Slack | Read messages | Yes |
| LinkedIn | Profile access | Yes |
| MCP Tools | Varies by tool | Yes |

## Integration Security

### Data Privacy

- **Selective Access**: Choose what data to share  
- **Encrypted Transfer**: All data encrypted in transit  
- **Access Logs**: Track integration usage  
- **Revocable**: Disconnect anytime  
- **Audit Trail**: Complete activity history

### Best Practices

- Only connect necessary integrations  
- Review integration permissions regularly  
- Monitor integration usage  
- Disconnect unused integrations  
- Follow organization security policies

## Using Integrations in Conversations

Once connected, integrations enable new capabilities:

### Automatic Tool Use

AI assistants can automatically:

- Search Gmail for relevant emails  
- Find Slack messages for context  
- Look up LinkedIn profiles  
- Query MCP tools  
- Combine multiple data sources

### Manual Tool Invocation

You can explicitly request:

- “Search my Gmail for emails from John about the project”  
- “Find Slack messages in #engineering about the bug”  
- “Look up this person’s LinkedIn profile”  
- “Query our database for customer data”

### Integration Context

Integrations provide context by:

- Adding relevant data to conversations  
- Enriching AI responses with real information  
- Grounding outputs in actual data  
- Reducing hallucinations

## Integration Limits

Be aware of these limitations:

### Rate Limits

- API calls per hour/day  
- Search query limits  
- Data retrieval caps  
- Sync frequency restrictions

### Data Limits

- Historical data range  
- Number of results returned  
- File size restrictions  
- Storage quotas

### Feature Limits

- Available endpoints  
- Supported data types  
- Query complexity  
- Concurrent requests

## Troubleshooting Integrations

### Common Issues

- **Connection Failed**  
  **Solutions:**  
  - Verify credentials  
  - Check network connectivity  
  - Ensure correct permissions  
  - Try reconnecting  
  - Contact support if persists

- **Data Not Syncing**  
  **Solutions:**  
  - Check sync settings  
  - Verify service status  
  - Review integration logs  
  - Manually trigger sync  
  - Check for rate limiting

- **Permission Denied**  
  **Solutions:**  
  - Request organization admin approval  
  - Verify your user permissions  
  - Check integration scope  
  - Reauthorize connection  
  - Review access requirements

- **Slow Performance**  
  **Solutions:**  
  - Reduce sync frequency  
  - Limit data scope  
  - Optimize queries  
  - Check service health  
  - Consider caching options

## Integration Analytics

Track integration usage:

- **Call Volume**: API requests per integration  
- **Data Transferred**: Amount of data synced  
- **Success Rate**: Successful vs failed requests  
- **Response Time**: Integration latency  
- **Most Used**: Popular integrations

## Custom Integration Development

Build your own integrations:

### MCP Server Development

1. **Design Tools**: Define tool capabilities  
2. **Implement Server**: Build MCP-compliant server  
3. **Test Locally**: Verify functionality  
4. **Deploy**: Host your MCP server  
5. **Register**: Add to Pulze spaces

### Resources

- [MCP Documentation](https://modelcontextprotocol.io/)  
- [Example Servers](https://github.com/modelcontextprotocol/servers)  
- [SDK Libraries](https://github.com/modelcontextprotocol)  
- [Community Forums](https://community.pulze.ai/)

## Next Steps

- [**Assistants**: Learn about AI assistants](/content/docs/pulze/assistants/overview/index.html)  
- [**Conversations**: Start using integrations in conversations](/content/docs/pulze/conversations/chat-interface/index.html)  
- [**Permissions**: Manage integration access](/content/docs/pulze/permissions/overview/index.html)  
- [**Back to Spaces**: Return to Spaces overview](/content/docs/pulze/spaces/overview/index.html)