Architecture Pattern MCP
MCP server that provides architecture design expertise to AI coding agents
The current version, v1.1.2, was published to the official MCP registry on 2026-09-17. It is distributed as the Docker image docker.io/olkowa/architecture-pattern-mcp:1.1.2, filed under Other by this index, and declares 9 environment variables. Removals and unreachable sources are measured across every server this index tracks, contract drift across the servers that answer in consecutive snapshots; the index's current counts put this record in context.
Using Architecture Pattern MCP in Claude, Cursor, Gemini CLI, Cline, or Zed?
MCP tool contracts can change remotely with no version bump. The mcpindex gate pins each contract and HOLDs the call when it drifts-before your agent acts. Zero credentials. This is not the package install for this server itself (use Install this server for that).
Rewrites your MCP host config so each server launches behind the gate. Inspect first: curl -fsSL https://mcpindex.ai/install.sh | less
uv tool install mcpindex-gate && mcpindex-config-wireSemantic screen found no manipulation pattern in the description. Conformance probe not yet run.
mcpindex.integrity.descriptionpassINFOevidence“No malicious instructions found”via static_description
- - Semantic screen only - the deterministic conformance probe has not run on this server
- - Confidence is reported but not yet calibrated (v1)
- - Screen reads the tool description, not the live behavior
- - advisory
- - registry description only no input schema
- - screen model 8b
- - Still current: the description we screened is unchanged, re-checked against the registry
- - The registry listing (version, packages, links) changed after this screen ran - the description we assessed did not
Semantic screen: an LLM judge reads the tool description for hidden instructions (status PARTIAL). A pass means the description is not lying, not that the tool is safe: a high-capability tool with an honest description still warrants caution. The deterministic conformance probe has not been run on this server yet, so the screen here is semantic-only. Posture: advisory. Confidences are reported but not yet calibrated (calibrated=false at v1). Full verdict history is not shown on this page.
Own this server? Screen its description →
That verdict was true at screening time (snapshot 2026-09-28).
Contracts can change after screening, with no version bump. The gate pins Architecture Pattern MCP’s tool contracts on first sight and holds any silent change before your agent acts - the check that keeps being true on Tuesday.
See your first HOLD in 2 minutes →
Related: how to trust an MCP server · screen before install · silent contract drift
People vet a server before wiring it in. One line on your project site or docs answers that with an independent record: screening verdict, registry provenance, contract drift history. It stays current as new screens and drift events land.
[Independent trust record for Architecture Pattern MCP](https://mcpindex.ai/server/io-github-olk-architecture-pattern-mcp) - screening verdict, registry provenance, and contract drift monitoring.<a href="https://mcpindex.ai/server/io-github-olk-architecture-pattern-mcp">Independent trust record for Architecture Pattern MCP</a> - screening verdict, registry provenance, and contract drift monitoring.A live verdict badge for your README or listing. It reflects the current screen, links back here, and updates when the verdict does.
[](https://mcpindex.ai/server/io-github-olk-architecture-pattern-mcp)<a href="https://mcpindex.ai/server/io-github-olk-architecture-pattern-mcp"><img src="https://mcpindex.ai/api/v1/badge/io-github-olk-architecture-pattern-mcp" alt="mcpindex verdict" height="20" /></a>GENERATOR_API_KEYAPI key for the generator LLM (LiteLLM provider).
GENERATOR_PROVIDERLiteLLM provider prefix, e.g. openai, anthropic, openrouter, minimax.
GENERATOR_MODELModel name, combined as <provider>/<model> via LiteLLM.
GENERATOR_BASE_URLOpenAI-compatible base URL (LiteLLM api_base).
PATTERN_DIRECTORYDirectory with *-pattern.json files. The image bakes the 40-pattern catalogue at /app/pattern.
EMBEDDER_PROVIDEREmbedding backend for pattern retrieval: tei, openai, ollama, vllm or hosted_vllm.
EMBEDDER_BASE_URLRequired: the dense retrieval leg embeds the 40-pattern catalogue during startup warmup and the server refuses to start when the endpoint is unreachable. OpenAI-compatible embeddings endpoint ending in /v1: on the Docker host use http://host.docker.internal:8080/v1 (add --add-host=host.docker.internal:host-gateway on Linux); on a shared Docker network use http://pattern-tei-embed:8080/v1.
EMBEDDER_API_KEYAPI key for the embedder. Keyless TEI accepts any non-empty value; use 'not-needed' there.
RERANKER_BASE_URLRequired: pattern retrieval runs a mandatory TEI cross-encoder rerank. On the Docker host use http://host.docker.internal:8080; on a shared Docker network use http://pattern-tei-rerank:8080.
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