MCP
Primecal MCP
Model Context Protocol integration for AI agents. Connect with scoped permissions and generated configuration that covers the connection details from the start.
Connect calendar data to the tools you build. Primecal MCP gives agents and developers scoped access, managed keys, and generated configuration so integrations start from a working baseline.
Integration architecture
Primecal MCP exposes calendar workflows through a documented interface. Agents and tools connect with scoped permissions — no read-everything access, no manual configuration from scratch.
MCP
Model Context Protocol integration for AI agents. Connect with scoped permissions and generated configuration that covers the connection details from the start.
API
Open API documentation for direct integration. Build custom workflows on top of calendar events, booking, and automation endpoints.
HOOKS
Connect schedule changes to downstream systems. Webhook-ready automation for event-driven workflows and external tool triggers.
Primecal MCP
Primecal MCP implements the Model Context Protocol so AI agents can read and write calendar events through a controlled interface. Each connection scopes what the agent can see and do — no blanket access.
Sample MCP configuration
{
"mcpServers": {
"primecal": {
"command": "npx",
"args": ["primecal-mcp", "connect"],
"env": {
"PRIMECAL_BASE_URL": "https://app.primecal.eu",
"PRIMECAL_API_KEY": "pc_live_scoped_key"
}
}
}
}Access governance
Every integration starts with a scope you define. Managed keys keep connections reviewable and easy to rotate. Nothing connects with blanket access.
Choose the exact resources and actions an agent or connected tool can reach before issuing access.
Create and rotate managed keys so connected workflows stay reviewable without rebuilding credentials from scratch.
Start from generated Primecal MCP configuration instead of rebuilding the connection details by hand.
Developer resources