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tracegazer/clockify-mcp

by Various

Full-coverage Clockify MCP — 112 tools across 18 domains (incl. invoices, scheduling, time-off & approvals), native OpenTelemetry observability, and a 3-tier read/time-tracking/ful

MCP

tracegazer/clockify-mcp

Added 11 June 2026

#ai#claude#clockify#mcp#mcp-server#model-context-protocol#productivity#time-tracking
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

A Python-based MCP server that exposes 112 tools across 18 Clockify domains including invoices, scheduling, time-off, and approvals. It includes native OpenTelemetry observability and uses a three-tier access model for read, time-tracking, and full access.

Best for

Best for
Developers building AI assistants that need comprehensive Clockify integration

Use cases

  • Automating Clockify time entries and updates via AI agents
  • Querying Clockify reports and scheduling data through a model context protocol
  • Managing approvals and invoices with an AI assistant

How to use

Install

uvx clockify-mcp

Tools exposed

  • time-tracking
  • CLOCKIFY_API_KEY
  • CLOCKIFY_REGION
  • CLOCKIFY_BASE_URL
  • CLOCKIFY_DEFAULT_WORKSPACE_ID
  • CLOCKIFY_ACCESS_MODE
  • CLOCKIFY_ENABLE_WRITES
  • CLOCKIFY_TELEMETRY
  • CLOCKIFY_TELEMETRY_DETAIL

Clients listed in this record (not verified here)

Claude Desktop

Notes

0 stars on GitHub. Last updated 2026-06-09. Licensed MIT.

Pros

  • Covers nearly all Clockify domains with 112 tools for comprehensive integration
  • Built-in OpenTelemetry observability enables monitoring and debugging
  • Three-tier access model provides granular permission control

Cons

  • Requires a compatible MCP host environment to run
  • Large tool surface may be excessive for simple time-tracking needs
  • Performance depends on Clockify API availability and rate limits

Pairs with

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