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Connects AI assistants to TrackingTime for querying time entries, projects, tasks, customers, and team data using natural language.

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Status
Unhealthy
Uptime
0.0% over the last 24 hours
OAuth
Works in Glama
Last Tested
Transport
Streamable HTTP
URL
Repository
TrackingTime/mcp
GitHub Stars
0
Server Listing
TrackingTime MCP
ChatGPT
–
Claude
–

TDQS

C2.9/5.0

Scored across 138 tools

Disambiguation3/5

Most core CRUD tools are distinct, but event/time queries overlap heavily (list_events, list_company_events, list_filtered_events, advanced_search, get_events_stats/summary) and the render_* family contains many similarly purposed presentation tools. Descriptions help, but an agent must read carefully to avoid misselection.

Naming Consistency4/5

The set mostly follows a clear snake_case verb_noun convention: list_, get_, create_, update_, delete_, archive_, restore_, assign_, render_, etc. Minor deviations include advanced_search lacking a verb, add_task_comment using add while task CRUD uses create, and mixed singular/plural in batch tool names.

Tool Count1/5

138 tools is far beyond an appropriate MCP surface, even for a broad time-tracking/project-management domain. The volume creates overwhelming choice and redundancy, and the rubric explicitly treats 50+ tools as an extreme mismatch.

Completeness4/5

Lifecycle coverage is unusually broad across tasks, projects, customers, events, invoices, expenses, time off, schedules, users, custom fields, reports, and rendering. Some secondary gaps exist, such as no update operation for task comments and limited expense-category management, but most core workflows are covered.

Publisher details

Operator
Not applicable
Operator website
https://trackingtime.co
Vendor relationship
First-party
Restrictions
Not applicable

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