Space Integrations

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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.

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Available Integrations

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Gmail Integration

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

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Setup

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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

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Privacy & Security

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

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Slack Integration

Connect Slack to bring team communications into your AI workflow:

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Setup

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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

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LinkedIn Integration

Access LinkedIn data for research and outreach:

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Setup

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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

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MCP (Model Context Protocol) Tools

Connect custom tools and services using the Model Context Protocol:

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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

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Setting Up MCP Tools

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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.

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Integration Management

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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

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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

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Reconnecting

If an integration fails:

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

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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

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Integration Security

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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

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Best Practices

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

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Using Integrations in Conversations

Once connected, integrations enable new capabilities:

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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

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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”

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Integration Context

Integrations provide context by:

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

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Integration Limits

Be aware of these limitations:

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Rate Limits

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

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Data Limits

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

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Feature Limits

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

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Troubleshooting Integrations

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Common Issues

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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

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Custom Integration Development

Build your own integrations:

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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

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Resources

• MCP Documentation
• Example Servers
• SDK Libraries
• Community Forums

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Next Steps