$ loading_
Search requirements knowledge, validate user stories, and create gated Azure DevOps work items.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "RE-Butler MCP Server" yet — see the docs or source repo.
Using the RE-Butler knowledge base, find requirement templates suitable for a payment feature and list each template’s use case, key fields, and usage advice.
A list of relevant requirement templates with when to use them and how to fill them out.
Validate whether this user story is complete and testable: As a procurement manager, I want to bulk import supplier quotes so that I can compare prices faster. Point out missing parts, ambiguities, and improvements.
A quality review of the user story, including issues, risks, and an improved rewritten version.
Based on the following requirement summary, create Epic, Feature, and User Story work items in Azure DevOps and set an approval gate so work can enter development only after product owner approval. Requirement summary: launch an invoice download center for enterprise customers.
Structured work item content and approval-flow setup guidance ready to submit to Azure DevOps.
Turn transcripts, text, and images into structured Azure DevOps work items.
Connect AI to Azure DevOps to manage projects, repos, work items, and pipelines.
Review code, chat with repositories, and manage repository operations.
Interact with Azure DevOps projects, work items, repos, and pipelines via natural language.
Manage Jira, Confluence, Git insights, and diagrams through one local MCP server.
Connect AI to on-prem Azure DevOps for repos, PRs, work items, and wikis.