Use Sidekick Pro to connect AI workflows to external systems and execute real work across your full tool stack.
Connect tools through one protocol instead of maintaining fragmented custom connectors.
Run workflows that move between browser tasks, messaging, issue trackers, and data systems.
Use scoped authentication and controlled access to keep integrations safe and auditable.
Add custom MCP servers so Sidekick Pro can adapt to your domain-specific operations.
Coordinate repositories, pull requests, and issues directly from Sidekick Pro workflows.
Send updates, route handoffs, and keep teams aligned from one execution flow.
Create and update work items while keeping project context synchronized.
Orchestrate complex process automations that combine AI decisions with deterministic steps.
Retrieve and update operational data as part of larger automated workflows.
Store, sync, and distribute output artifacts across cloud storage systems.
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MCP Apps allow Sidekick Pro to execute work across external systems through a standardized protocol. Instead of building one-off integrations per tool, teams can use MCP to expose actions in a consistent way and orchestrate multi-system workflows from a single assistant layer.
The MCP ecosystem continues to expand, which makes Sidekick Pro increasingly flexible as your stack and requirements evolve. This architecture supports both individual productivity and enterprise-scale operational workflows without locking teams into a narrow integration model.
Ready to connect Sidekick Pro to your stack? Install Sidekick Pro, then configure integrations from your workspace and select a planfor team-scale automation.
Use MCP Apps in Sidekick Pro to automate cross-system workflows with durable context and team-ready reliability.