A
licenseA
qualityB
maintenanceEnables AI assistants to interact with an on-premise Azure DevOps Server 2022, allowing users to list, view, create, and update work items through natural language.
4
MIT
Azure DevOps MCP Server
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TDQS
A3.8/5.0
Scored across 16 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: PR creation vs retrieval, build logs vs build listing, specialized tools for failed builds or unreviewed PRs. There is no functional overlap that would cause ambiguity.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern in snake_case (e.g., create_pull_request, get_last_build, list_repositories). The naming is predictable and uniform across the entire set.
Tool Count5/5
16 tools cover core Azure DevOps operations (projects, repos, branches, PRs, builds, pipelines) without being bloated. Each tool serves a necessary function, and the count is appropriate for the domain.
Completeness4/5
The tool surface covers essential CRUD-like operations for PRs, builds, and pipelines. Minor gaps exist (e.g., no update or merge for PRs, no build cancellation), but the most common agent scenarios are supported.
Maintenance
ActivityInactive
ResponsivenessNo issues