Clockify
Clockify MCP Server integrates with the Clockify time tracking API, allowing AI assistants to manage time entries through natural language prompts. Developed by https-eduardo, this TypeScript implementation provides tools for creating billable time entries, retrieving workspace information, listing projects, and accessing user data. The server handles authentication via Clockify API tokens and exposes four main tools that abstract the complexity of the Clockify API, making it particularly valuable for users who want to log their work hours without leaving their AI assistant interface. Future implementations will include deleting and editing time entries.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/https-eduardo/clockify-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
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.