$ loading_
Create, manage, diagram, and export ADRs directly from AI conversations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-adr" yet — see the docs or source repo.
Create an ADR draft from this context: we need to choose a message queue for a new microservices project. Options are Kafka, RabbitMQ, and AWS SQS. Include context, decision, alternatives, trade-offs, consequences, and status.
A complete ADR draft that clearly presents context, option comparisons, and a recommended decision.
Help organize our existing ADRs: list all records with proposed status, then update the 'database selection' ADR to accepted and add the reason for the update and impacted scope.
A filtered list of ADRs by status, plus the revised ADR content and change notes.
Turn the latest five ADRs into a decision relationship diagram and export a review-ready document summary highlighting dependencies, chronology, and key impacts.
A diagram showing ADR relationships and a concise document summary ready for team review.
Analyze ADRs to extract risks, trade-offs, and improvement suggestions.
Let MCP-compatible AI agents securely read and write architecture-map diagrams.
Expand queries and search Google Drive knowledge for structured creative context.
Give AI coding agents structured access to project architecture and decisions.
Create and maintain ADRs with checks, references, and planning support.
Create and manage Draw.io diagrams for architecture, flows, and visual documentation.