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MCP server that provides design-pattern selection expertise to AI coding agents
Design Pattern MCP 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 76/100。 作为 Model Context Protocol 服务器，它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具，让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录，每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势，完整算法说明见来源页。安装命令已列于上方，可直接复制使用。 在将 Design Pattern MCP 加入生产 agent 工作流前，请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
docker run -i --rm docker.io/olkowa/design-pattern-mcp:1.0.1运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-10T13:54:12.279867Z",
"publishedAt": "2026-10-10T13:54:12.279867Z",
"statusChangedAt": "2026-10-10T13:54:12.279867Z"
}
},
"server": {
"name": "io.github.olk/design-pattern-mcp",
"title": "Design Pattern MCP",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.0.1",
"packages": [
{
"transport": {
"type": "stdio"
},
"identifier": "docker.io/olkowa/design-pattern-mcp:1.0.1",
"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": "DESIGN_PATTERN_GENERATOR_API_KEY",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "API key for the generator LLM (LiteLLM provider)."
},
{
"name": "DESIGN_PATTERN_GENERATOR_PROVIDER",
"format": "string",
"default": "openai",
"description": "LiteLLM provider prefix, e.g. openai, anthropic, openrouter."
},
{
"name": "DESIGN_PATTERN_GENERATOR_MODEL",
"format": "string",
"default": "gpt-4o-mini",
"description": "Model name, combined as <provider>/<model> via LiteLLM."
},
{
"name": "DESIGN_PATTERN_GENERATOR_BASE_URL",
"format": "string",
"default": "https://api.openai.com/v1",
"description": "OpenAI-compatible base URL (LiteLLM api_base)."
},
{
"name": "DESIGN_PATTERN_PATTERN_DIRECTORY",
"format": "string",
"default": "/app/pattern",
"description": "Directory with the catalog records (*.json main records plus per-language files). The image bakes the 438-record catalogue at /app/pattern."
},
{
"name": "DESIGN_PATTERN_EMBEDDER_BASE_URL",
"format": "string",
"isRequired": true,
"description": "Required: the dense retrieval leg embeds the 438-record catalogue during startup warmup and the server refuses to start when the endpoint is unreachable. TEI embeddings endpoint: on the Docker host use http://host.docker.internal:8080 (add --add-host=host.docker.internal:host-gateway on Linux); on a shared Docker network use http://design-pattern-tei-embed:8080."
},
{
"name": "DESIGN_PATTERN_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": "DESIGN_PATTERN_RERANKER_BASE_URL",
"format": "string",
"isRequired": true,
"description": "Required: retrieval runs a mandatory TEI cross-encoder rerank whenever the fused pool has more than one candidate. On the Docker host use http://host.docker.internal:8080; on a shared Docker network use http://design-pattern-tei-rerank:8080."
}
]
}
],
"repository": {
"url": "https://github.com/olk/design-pattern-mcp",
"source": "github"
},
"description": "MCP server that provides design-pattern selection expertise to AI coding agents"
}
}