AI assistants with live Leadtime context
Give AI assistants real-time access to tickets, projects, and delivery data—without exports, polling, or manual syncing.
MCP integration
Connect Leadtime directly to AI agents.
Expose your Leadtime workspace as structured, real-time context for AI systems using the Model Context Protocol.
AI-native integrationStructured, real-time contextSecure and controlled access
What teams enable with Leadtime + MCP
Designed for AI-driven workflows where models and agents need direct access to delivery data.
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
Bring Leadtime into your AI workflows
Use the Leadtime MCP integration to power AI assistants with real delivery context—securely and in real time.
Try for free now!