@maxenlin/mcp-zentao-11-3
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- FlicenseNot gradedqualityFmaintenanceEnables AI assistants to manage Zentao bugs, requirements, and test cases through natural language interactions. It supports querying, creating, and updating various Zentao data entities including products, projects, and executions.6 npm11-
- AlicenseDqualityCmaintenanceEnables AI-powered interaction with ZenTao 11.3 legacy systems, supporting task, bug, requirement, and test case management via MCP protocol.4822 npm4MIT
- AlicenseDqualityCmaintenanceEnables interaction with ZenTao open-source instances to query and manage tasks, bugs, stories, test cases, and test runs, using REST v1 with legacy fallback for incompatible routes.52MIT
- FlicenseNot gradedqualityFmaintenanceEnables LLMs to interact with ZenTao project management system, supporting project and task management operations including creating, querying, and updating projects and tasks through natural language.4-
- AlicenseCqualityBmaintenanceEnables full CRUD operations on Zentao entities like requirements, bugs, tasks, test cases, projects, and products through natural language.17616 npm1MIT
- AlicenseBqualityCmaintenanceEnables interaction with ZenTao project management software through its REST API. Supports bug tracking, product management, and issue resolution with secure authentication for streamlined development workflows.722 npm1ISC
TDQS
Scored across 50 tools
While most tools follow a get/update/export/analyze pattern, there are many overlapping variants (e.g., exportItems, exportStory, exportBug, exportStoriesBySearch; getProductBugs, getMyBugs, getStoryRelatedBugs, getBugRelatedBug) and most tools have no descriptions, making it hard to know which one to use.
Tool names consistently use camelCase verb+noun construction (get*, create*, update*, export*, analyze*), with only a few outliers like initZentao, getConfig, and exportItems. The naming scheme is recognizable and predictable.
50 tools is excessive for a Zentao integration, with many single-purpose export and summary helpers that could be consolidated or omitted. The count feels heavy and likely to overwhelm rather than streamline agent workflows.
The set covers read operations and basic state transitions across tasks, bugs, stories, and test cases, plus exports and analysis helpers. However, there are notable gaps: no create/update for stories or bugs, no add-comment operations, and no deeper test-management workflows.