Clockify
Clockify MCP server by Ratheesh Kumar that provides AI assistants with complete time tracking and project management capabilities through Clockify's API, enabling direct management of time entries, projects, tasks, clients, tags, and report generation. Built with TypeScript and the Model Context Protocol SDK, the implementation offers comprehensive workspace management including user authentication, project organization with client associations, task assignment and tracking, and detailed reporting with filtering options for billable hours, date ranges, and custom fields. The server supports full CRUD operations across all Clockify entities, time entry automation with start/stop functionality, and both detailed and summary report generation with multiple export formats, making it valuable for teams requiring programmatic time tracking integration, project managers needing automated timesheet workflows, and AI assistants that help users manage productivity and billing through conversational interfaces.
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
- data-analytics
- Source
- PulseMCP
- Repository
- github.com/ratheesh-aot/clockify-mcp
- Author type
- human
- Updated
- 2026-04-29
Use via MCP
Resolve Clockify 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.