Architecture governance for AI agents: query the live model, get target patterns, check files.
Architecture governance for AI agents: query the live model, get target patterns, check files.
AI agents now write code faster than any architect can review, document, or govern it. Docs rot instantly, the real architecture is invisible, structural decisions get made silently, and intended architecture drifts with every edit. ArchSteer is the always-current architecture system of record + governance plane: it derives the real architecture from code, keeps living docs and ADRs auto-built, surfaces every major decision for the architect to ratify, enforces declared intent as code-level fitness functions, and steers AI agents to conform instead of replicating local slop.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| current_architecture | component/layer counts, conformance/drift, the declared target. |
| get_target_pattern | the invariants that apply to a file, *before* you write to it. |
| check_file | whether a file you just edited conforms, without waiting for CI. |
| java-spring | pom.xml / build.gradle |
| salesforce | sfdx-project.json / force-app |
| python-service | pyproject.toml / requirements.txt |
| nextjs-app-router | package.json has next, an app/ dir, no express |
| express-to-next | package.json (fallback, or express present) |
claude mcp add archsteer -- uvx archsteerStore entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
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