AI agent for Azure DevOps
Connect Azure DevOps to your AI agent through the WorkAist MCP server.
The WorkAist Azure DevOps connector is a production-grade Model Context Protocol (MCP) server. AI agents can read and write Azure DevOps data — developer tools, version control, ci cd — through one consistent interface. Open-source under AGPL-3.0, self-hosted, with reversible PII redaction at the LLM boundary.
Authentication & setup
The Azure DevOps connector authenticates via Personal Access Token.
Create a token in the service's developer settings with read+write scopes, paste it once at install time. Stored encrypted.
Frequently paired with Azure DevOps
FAQ
Can a WorkAist AI agent really automate Azure DevOps end-to-end?▼
Yes. The connector exposes read and write tools through Model Context Protocol. AI agents call them through plain-language instructions in a CLAUDE.md file — no glue code.
How does this differ from using the Azure DevOps API directly?▼
The connector adds permission isolation, audit logging, cost tracking per agent, and reversible PII redaction at the LLM boundary. It also presents Azure DevOps as part of a unified Knowledge Graph alongside your other tools.
What does it cost?▼
WorkAist is open-source under AGPL-3.0 and self-hosted, so the connector itself is free. You pay only for Azure DevOps's own API costs (if any) and the LLM tokens your agent consumes.
Is my Azure DevOps data sent to a third party?▼
No. WorkAist runs in your own infrastructure. Data flows from Azure DevOps → your WorkAist instance → the LLM you choose. Sensitive fields can be tokenized before reaching the LLM.
What if Azure DevOps changes its API?▼
The connector is versioned and published openly. When Azure DevOps ships breaking changes, we bump the connector version and the marketplace UI surfaces the upgrade as a one-click apply.