What teams enable with Leadtime + MCP
Intelligent summaries and decision support
Let AI systems answer questions, summarize status, and surface risks based on live workspace context.
Automated reporting and insights
Generate structured updates, reports, and briefings directly from Leadtime data.
Tool calling and controlled actions
Allow AI assistants to safely query and act on Leadtime through a standardized, protocol-based interface.
How Leadtime MCP works
Leadtime exposes an MCP server that AI assistants can connect to in order to access workspace data and perform actions on your behalf.
This allows AI systems to reason over live delivery data while respecting permissions, scope, and security boundaries.
Use MCP if you want to:
Connect AI assistants directly to Leadtime
Provide real-time, structured context to models
Avoid prompt-only or brittle integrations
Build future-proof AI workflows
Use Zapier or n8n if you want:
Traditional workflow automation
Human-triggered processes
SaaS-to-SaaS integrations
