A
licenseA
qualityC
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.