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Let MCP-compatible AI agents securely read and write architecture-map diagrams.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "architecture-map MCP server" yet — see the docs or source repo.
Connect to the architecture-map MCP server and read the system diagram in my authorized project. Summarize the main services, dependencies, and boundaries.
A structured summary of the authorized architecture diagram, including key components and relationships.
Using the architecture-map MCP server, connect the “API Gateway” to the “Auth Service” in a project I can access, and add a note describing the update.
The diagram is updated in the authorized project, with a result message or change summary.
After completing OAuth 2.1/PKCE authorization, read only the architecture-map projects I’m allowed to access and list the diagrams I can work with.
A list of projects or diagrams available within the current authorized scope, without accessing anything else.
Developers or DevOps teams can let an MCP-compatible AI read authorized architecture-map projects to quickly understand system components, dependencies, and diagram structure.
When system architecture changes, teams can have AI write or update diagram content in permitted projects to reduce manual maintenance work.
For teams that need controlled access scope, this MCP tool supports per-project access controls and uses OAuth 2.1/PKCE for authorization.
It is an MCP tool that lets MCP-compatible AI agents read and write architecture-map projects and diagrams. It also supports per-project access controls.
The provided description says it uses OAuth 2.1/PKCE for authorization. For exact configuration details, see the source repository.
No, that should not be assumed. The description explicitly mentions per-project access controls, so the agent’s access should be limited by project-specific authorization.
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