tracegazer/clockify-mcp

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

Tested with

Claude Desktop

Notes

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.

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

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

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

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.