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Integrations

Integrations connect Lovelace agents to external systems—GitHub, Linear, Google Workspace, Slack, AI providers, and more. They handle authentication, rate limiting, and error handling so agents can focus on tasks.

Why Integrations Matter

An agent that only works with Lovelace data isn't very useful. Real work happens across multiple systems: code in GitHub, issues in Linear, documents in Google Drive, conversations in Slack, AI models from multiple providers.

Integrations make these connections secure, reliable, and easy to use. Instead of each agent implementing OAuth flows and handling API quirks, integrations provide a consistent interface.

Types of Integrations

OAuth connections link to services using standard OAuth flows. You authorize once, Lovelace securely stores tokens, and agents can access the service on your behalf. This works for GitHub, Linear, Google, and other platforms supporting OAuth.

Service providers connect to AI model providers (OpenAI, Anthropic) and other infrastructure services. These typically use API keys rather than OAuth.

MCP (Model Context Protocol) tools are a standardized way to provide custom capabilities to agents. If you have internal systems or specialized APIs, MCP tools let you expose them to agents consistently.

How Integrations Work

When you connect an integration, you authenticate with the external service through their OAuth flow. Lovelace receives a token with specific permissions (scopes) that define what the agent can do.

These tokens are stored securely and automatically refreshed when needed. Agents request access through tools that wrap the integration—they don't see tokens or handle authentication directly.

Integration tools are subject to the same dynamic availability rules as other tools—they're provided based on workflow state. An agent in a "read-only analysis" state won't have access to tools that modify GitHub issues, even if the integration supports it.

Security Model

Integrations implement several security layers:

Least privilege - Agents only get access to integrations and scopes they actually need.

User consent - You explicitly authorize each integration connection.

Scope limitation - OAuth connections request only the minimum permissions required.

Audit logging - All integration usage is logged for security and debugging.

Token rotation - Refresh tokens automatically, revoke on suspicious activity.

Common Integration Patterns

Source control - GitHub, GitLab, Bitbucket for code repository access.

Issue tracking - Linear, Jira, GitHub Issues for task management.

Communication - Slack, Discord, Teams for notifications and interactions.

Documentation - Notion, Confluence, Google Docs for knowledge bases.

AI providers - OpenAI, Anthropic, Cohere for language model access.

Cloud platforms - AWS, GCP, Azure for infrastructure management.

The Bigger Picture

Integrations turn Lovelace from an isolated system into a central orchestration platform. Agents can coordinate work across your entire toolchain—reviewing code in GitHub, creating issues in Linear, updating documentation in Notion, notifying teams in Slack.

This is the difference between toy demos and production systems. Real automation needs real integrations.

The challenge is doing this securely and reliably. That's what Lovelace integrations provide—production-grade connections that just work.

Related Concepts