MCP server that provides AI agent pattern expertise for designing agent systems
Connect Runs on your machine
claude mcp add agent-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/agent-pattern-mcp:1.0.4
{
"mcpServers": {
"agent-pattern-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/olkowa/agent-pattern-mcp:1.0.4"
],
"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>"
}
}
}
}
{
"mcpServers": {
"agent-pattern-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/olkowa/agent-pattern-mcp:1.0.4"
],
"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>"
}
}
}
}
{
"servers": {
"agent-pattern-mcp": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/olkowa/agent-pattern-mcp:1.0.4"
],
"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_KEYRequired, secret | API key for the generator LLM (LiteLLM provider). |
GENERATOR_PROVIDEROptional | LiteLLM provider prefix, e.g. openai, anthropic, openrouter, minimax. |
GENERATOR_MODELOptional | Model name, combined as <provider>/<model> via LiteLLM. |
GENERATOR_BASE_URLOptional | OpenAI-compatible base URL (LiteLLM api_base). |
PATTERN_DIRECTORYOptional | Directory with *-pattern.json files. The image bakes the 61-pattern catalog at /app/pattern. |
EMBEDDER_PROVIDEROptional | Embedding backend for pattern retrieval: tei, openai, ollama, vllm or hosted_vllm. |
EMBEDDER_BASE_URLOptional | Embedder endpoint. For TEI sidecars on the host use http://host.docker.internal:8080/v1 (add --add-host=host.docker.internal:host-gateway on Linux). |
EMBEDDER_API_KEYOptional, secret | API key for the embedder. Required for startup even with keyless TEI; use 'not-needed' there. |
RERANKER_BASE_URLOptional | TEI cross-encoder reranker endpoint used during pattern retrieval. |
Details
| Package | docker.io/olkowa/agent-pattern-mcp:1.0.4 (OCI, stdio) |
| First published | 9 Oct 2026 |
| Last updated | 9 Oct 2026 |
| Registry name | io.github.olk/agent-pattern-mcp |
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