Q-Scheduler
This MCP server provides AI assistants with robust task scheduling and automation capabilities across multiple execution types including shell commands, API calls, AI content generation, and desktop notifications with sound, built by RadiumGu as a fork of PhialsBasement's scheduler-mcp using Python with cron-based scheduling and SQLite persistence. The implementation features cross-platform desktop notification support, one-time or recurring task execution, comprehensive execution history tracking, and enhanced JSON parsing with error recovery for improved client compatibility. Built with both stdio and SSE transport support, AWS Q model integration, and automatic task disabling for one-off completions, it serves developers needing programmable task automation, teams requiring scheduled system maintenance and monitoring, and users wanting AI-powered reminder systems with visual and audio notifications across Windows, macOS, and Linux environments.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/radiumgu/q-scheduler-mcp
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Q-Scheduler from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.