Architecture Pattern MCP

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-09T22:34:32.802014Z",
      "publishedAt": "2026-10-09T22:34:32.802014Z",
      "statusChangedAt": "2026-10-09T22:34:32.802014Z"
    }
  },
  "server": {
    "name": "io.github.olk/architecture-pattern-mcp",
    "title": "Architecture Pattern MCP",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "1.1.5",
    "packages": [
      {
        "transport": {
          "type": "stdio"
        },
        "identifier": "docker.io/olkowa/architecture-pattern-mcp:1.1.3",
        "runtimeHint": "docker",
        "registryType": "oci",
        "packageArguments": [
          {
            "type": "positional",
            "value": "--transport"
          },
          {
            "type": "positional",
            "value": "stdio"
          }
        ],
        "runtimeArguments": [
          {
            "name": "--add-host",
            "type": "named",
            "value": "host.docker.internal:host-gateway",
            "description": "Makes a TEI embedder/reranker running on the Docker host reachable from the container (needed on Linux; already provided by Docker Desktop)."
          }
        ],
        "environmentVariables": [
          {
            "name": "GENERATOR_API_KEY",
            "format": "string",
            "isSecret": true,
            "isRequired": true,
            "description": "API key for the generator LLM (LiteLLM provider)."
          },
          {
            "name": "GENERATOR_PROVIDER",
            "format": "string",
            "default": "openai",
            "description": "LiteLLM provider prefix, e.g. openai, anthropic, openrouter, minimax."
          },
          {
            "name": "GENERATOR_MODEL",
            "format": "string",
            "default": "gpt-4o-mini",
            "description": "Model name, combined as <provider>/<model> via LiteLLM."
          },
          {
            "name": "GENERATOR_BASE_URL",
            "format": "string",
            "default": "https://api.openai.com/v1",
            "description": "OpenAI-compatible base URL (LiteLLM api_base)."
          },
          {
            "name": "PATTERN_DIRECTORY",
            "format": "string",
            "default": "/app/pattern",
            "description": "Directory with *-pattern.json files. The image bakes the 40-pattern catalogue at /app/pattern."
          },
          {
            "name": "EMBEDDER_PROVIDER",
            "format": "string",
            "default": "tei",
            "description": "Embedding backend for pattern retrieval: tei, openai, ollama, vllm or hosted_vllm."
          },
          {
            "name": "EMBEDDER_BASE_URL",
            "format": "string",
            "isRequired": true,
            "description": "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.internal:host-gateway on Linux); on a shared Docker network use http://pattern-tei-embed:8080/v1."
          },
          {
            "name": "EMBEDDER_API_KEY",
            "format": "string",
            "default": "not-needed",
            "isSecret": true,
            "description": "API key for the embedder. Keyless TEI accepts any non-empty value; use 'not-needed' there."
          },
          {
            "name": "RERANKER_BASE_URL",
            "format": "string",
            "isRequired": true,
            "description": "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."
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/olk/architecture-pattern-mcp",
      "source": "github"
    },
    "description": "MCP server that provides architecture design expertise to AI coding agents"
  }
}