Calendar Ai Mcp
Wire your coding agent to calendar APIs so it can list events, propose meeting slots, and keep solo-builder schedules in sync without leaving the IDE.
Overview
calendar-ai-mcp is a MCP server for the Build phase that connects AI coding agents to calendar-ai workflows over stdio so builders can automate scheduling from the IDE.
What is this MCP server?
- stdio MCP server (PyPI package calendar-ai-mcp) version 1.0.4
- Published by MEOK AI Labs under CSOAI-ORG on GitHub
- Designed for agent-driven calendar read/write and scheduling automation
- Fits solo builders automating standups, client calls, and ship-date reminders
- Model Context Protocol bridge—not a standalone calendar app
- Server schema version 1.0.4
- Transport: stdio
- Registry: PyPI identifier calendar-ai-mcp
What problem does it solve?
Solo builders waste context switching between calendars and agents when planning calls, deadlines, and release windows.
Who is it for?
Indie developers who want MCP-native calendar assistance alongside Claude Code or Cursor during build and operate weeks.
Skip if: Teams that need a full calendaring SaaS, deep Google Workspace admin, or guaranteed tool list without reading the repo post-install.
What do I get? / Deliverables
After you register the stdio server in your agent, the model can invoke calendar-ai-mcp tools instead of you copying events by hand.
- Registered stdio MCP server entry in your agent config
- Agent-callable calendar-ai tools once transport and auth are configured
Recommended MCP Servers
Journey fit
Calendar connectivity is an integration you add while building agent-assisted workflows, not a launch-only or research task. stdio PyPI MCP fits the integrations shelf where external services get registered to Claude Code, Cursor, and similar hosts.
How it compares
MCP integration server from MEOK AI Labs, not a hosted calendar product or a Claude skill markdown file.
Common Questions / FAQ
Who is calendar-ai-mcp for?
Solo and small-team builders using AI agents who want calendar-aware automation through the Model Context Protocol.
When should I use calendar-ai-mcp?
Use it during Build integrations when you are connecting scheduling data to agent workflows for standups, demos, or ship milestones.
How do I add calendar-ai-mcp to my agent?
Install the PyPI package calendar-ai-mcp, configure stdio transport in your MCP client, point at identifier calendar-ai-mcp, and restart the agent host.