Azure DevOps
MCP Azure DevOps Server provides a bridge between AI assistants and Azure DevOps services, enabling natural language interactions with work items, projects, and teams. The implementation uses the Azure DevOps Python API to expose capabilities through tools that query work items using WIQL, retrieve project information, and manage team resources. It authenticates via Personal Access Tokens stored in environment variables and formats responses in a structured, readable format. Ideal for developers and project managers who want to integrate Azure DevOps workflows into AI-powered conversations without navigating the complex Azure DevOps interface directly.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/vortiago/mcp-azure-devops
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Azure DevOps from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.