Architecture Pattern MCP

io.github.olk/architecture-pattern-mcp · v1.1.5

MCP server that provides architecture design expertise to AI coding agents

Source code Set it up

Connect Runs on your machine

Terminal

claude mcp add architecture-pattern-mcp -e GENERATOR_API_KEY=<GENERATOR_API_KEY> -e GENERATOR_PROVIDER=<GENERATOR_PROVIDER> -e GENERATOR_MODEL=<GENERATOR_MODEL> -e GENERATOR_BASE_URL=<GENERATOR_BASE_URL> -e PATTERN_DIRECTORY=<PATTERN_DIRECTORY> -e EMBEDDER_PROVIDER=<EMBEDDER_PROVIDER> -e EMBEDDER_BASE_URL=<EMBEDDER_BASE_URL> -e EMBEDDER_API_KEY=<EMBEDDER_API_KEY> -e RERANKER_BASE_URL=<RERANKER_BASE_URL> -- docker run -i --rm docker.io/olkowa/architecture-pattern-mcp:1.1.3

claude_desktop_config.json

{
  "mcpServers": {
    "architecture-pattern-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/olkowa/architecture-pattern-mcp:1.1.3"
      ],
      "env": {
        "GENERATOR_API_KEY": "<GENERATOR_API_KEY>",
        "GENERATOR_PROVIDER": "<GENERATOR_PROVIDER>",
        "GENERATOR_MODEL": "<GENERATOR_MODEL>",
        "GENERATOR_BASE_URL": "<GENERATOR_BASE_URL>",
        "PATTERN_DIRECTORY": "<PATTERN_DIRECTORY>",
        "EMBEDDER_PROVIDER": "<EMBEDDER_PROVIDER>",
        "EMBEDDER_BASE_URL": "<EMBEDDER_BASE_URL>",
        "EMBEDDER_API_KEY": "<EMBEDDER_API_KEY>",
        "RERANKER_BASE_URL": "<RERANKER_BASE_URL>"
      }
    }
  }
}

~/.cursor/mcp.json

{
  "mcpServers": {
    "architecture-pattern-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/olkowa/architecture-pattern-mcp:1.1.3"
      ],
      "env": {
        "GENERATOR_API_KEY": "<GENERATOR_API_KEY>",
        "GENERATOR_PROVIDER": "<GENERATOR_PROVIDER>",
        "GENERATOR_MODEL": "<GENERATOR_MODEL>",
        "GENERATOR_BASE_URL": "<GENERATOR_BASE_URL>",
        "PATTERN_DIRECTORY": "<PATTERN_DIRECTORY>",
        "EMBEDDER_PROVIDER": "<EMBEDDER_PROVIDER>",
        "EMBEDDER_BASE_URL": "<EMBEDDER_BASE_URL>",
        "EMBEDDER_API_KEY": "<EMBEDDER_API_KEY>",
        "RERANKER_BASE_URL": "<RERANKER_BASE_URL>"
      }
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "architecture-pattern-mcp": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/olkowa/architecture-pattern-mcp:1.1.3"
      ],
      "env": {
        "GENERATOR_API_KEY": "<GENERATOR_API_KEY>",
        "GENERATOR_PROVIDER": "<GENERATOR_PROVIDER>",
        "GENERATOR_MODEL": "<GENERATOR_MODEL>",
        "GENERATOR_BASE_URL": "<GENERATOR_BASE_URL>",
        "PATTERN_DIRECTORY": "<PATTERN_DIRECTORY>",
        "EMBEDDER_PROVIDER": "<EMBEDDER_PROVIDER>",
        "EMBEDDER_BASE_URL": "<EMBEDDER_BASE_URL>",
        "EMBEDDER_API_KEY": "<EMBEDDER_API_KEY>",
        "RERANKER_BASE_URL": "<RERANKER_BASE_URL>"
      }
    }
  }
}

Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.

Tools

This server runs locally, so its tools are listed by your MCP client once it starts.

Environment variables

Name	Description
`GENERATOR_API_KEY` Required, secret	API key for the generator LLM (LiteLLM provider).
`GENERATOR_PROVIDER` Optional	LiteLLM provider prefix, e.g. openai, anthropic, openrouter, minimax.
`GENERATOR_MODEL` Optional	Model name, combined as <provider>/<model> via LiteLLM.
`GENERATOR_BASE_URL` Optional	OpenAI-compatible base URL (LiteLLM api_base).
`PATTERN_DIRECTORY` Optional	Directory with *-pattern.json files. The image bakes the 40-pattern catalogue at /app/pattern.
`EMBEDDER_PROVIDER` Optional	Embedding backend for pattern retrieval: tei, openai, ollama, vllm or hosted_vllm.
`EMBEDDER_BASE_URL` Required	Required: 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.inter…
`EMBEDDER_API_KEY` Optional, secret	API key for the embedder. Keyless TEI accepts any non-empty value; use 'not-needed' there.
`RERANKER_BASE_URL` Required	Required: 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.

Details

Package	`docker.io/olkowa/architecture-pattern-mcp:1.1.3` (OCI, stdio)
First published	9 Oct 2026
Last updated	9 Oct 2026
Registry name	`io.github.olk/architecture-pattern-mcp`

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