MCP Zephyr
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- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to interact with Zephyr Scale Cloud for test management, including test cases, cycles, plans, folders, priorities, and statuses via the MCP protocol.15 PyPI2MIT
- AlicenseNot gradedqualityAmaintenanceEnables LLMs to manage test cases, cycles, and executions in Jira Data Center via Zephyr Scale.MIT
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- AlicenseAqualityDmaintenanceEnables comprehensive test management with JIRA's Zephyr system, allowing users to create and manage test plans, execute test cycles, track progress, and generate reports through natural language.1324 npm12MIT
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TDQS
Scored across 18 tools
Most tools have clearly distinct purposes, but there is some overlap between 'get_all_test_steps' and 'get_test_steps' which could cause confusion as both retrieve test steps with different pagination approaches. All other tools target specific resources and actions without ambiguity.
Tool names follow a highly consistent verb_noun pattern throughout, such as 'create_test_case', 'get_project', 'list_folders', and 'update_test_case'. This predictability makes it easy for agents to understand and select the appropriate tool.
With 18 tools, the count is slightly high but reasonable for a test management domain, covering projects, folders, test cases, steps, scripts, and reference data. It might feel a bit heavy, but each tool appears to serve a specific function without obvious redundancy.
The tool set provides comprehensive coverage for test management, including CRUD operations for projects, folders, test cases, and test steps, along with listing reference data and handling test scripts. There are no apparent gaps that would hinder agent workflows in this domain.