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Agent Pattern MCP

L0· runs locally

MCP server that provides AI agent pattern expertise for designing agent systems

v1.0.4 · active · repository · descriptor JSON · versions

Runs on your machine: something must execute the package.Only local packages are published (npm, PyPI, OCI, …). The registry never executes them, so tools are unknown until you run it.
Quality–not scored
Trust90of 100
Packages1
Tools seen0

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "agent-pattern-mcp": {
      "command": "docker",
      "args": [
        "--add-host",
        "host.docker.internal:host-gateway",
        "-e",
        "GENERATOR_API_KEY",
        "-e",
        "GENERATOR_PROVIDER",
        "-e",
        "GENERATOR_MODEL",
        "-e",
        "PATTERN_DIRECTORY",
        "-e",
        "EMBEDDER_PROVIDER",
        "-e",
        "EMBEDDER_API_KEY",
        "docker.io/olkowa/agent-pattern-mcp:1.0.4",
        "--transport",
        "stdio"
      ],
      "env": {
        "GENERATOR_API_KEY": "${GENERATOR_API_KEY}",
        "GENERATOR_PROVIDER": "openai",
        "GENERATOR_MODEL": "gpt-4o-mini",
        "PATTERN_DIRECTORY": "/app/pattern",
        "EMBEDDER_PROVIDER": "tei",
        "EMBEDDER_API_KEY": "${EMBEDDER_API_KEY}"
      }
    }
  }
}
claude mcp add agent-pattern-mcp -e "GENERATOR_API_KEY=${GENERATOR_API_KEY}" -e "GENERATOR_PROVIDER=openai" -e "GENERATOR_MODEL=gpt-4o-mini" -e "PATTERN_DIRECTORY=/app/pattern" -e "EMBEDDER_PROVIDER=tei" -e "EMBEDDER_API_KEY=${EMBEDDER_API_KEY}" -- docker --add-host host.docker.internal:host-gateway -e GENERATOR_API_KEY -e GENERATOR_PROVIDER -e GENERATOR_MODEL -e PATTERN_DIRECTORY -e EMBEDDER_PROVIDER -e EMBEDDER_API_KEY docker.io/olkowa/agent-pattern-mcp:1.0.4 --transport stdio
[mcp_servers.agent-pattern-mcp]
command = "docker"
args = ["--add-host", "host.docker.internal:host-gateway", "-e", "GENERATOR_API_KEY", "-e", "GENERATOR_PROVIDER", "-e", "GENERATOR_MODEL", "-e", "PATTERN_DIRECTORY", "-e", "EMBEDDER_PROVIDER", "-e", "EMBEDDER_API_KEY", "docker.io/olkowa/agent-pattern-mcp:1.0.4", "--transport", "stdio"]
env = { "GENERATOR_API_KEY" = "${GENERATOR_API_KEY}", "GENERATOR_PROVIDER" = "openai", "GENERATOR_MODEL" = "gpt-4o-mini", "PATTERN_DIRECTORY" = "/app/pattern", "EMBEDDER_PROVIDER" = "tei", "EMBEDDER_API_KEY" = "${EMBEDDER_API_KEY}" }
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "agent-pattern-mcp": {
      "type": "local",
      "command": [
        "docker",
        "--add-host",
        "host.docker.internal:host-gateway",
        "-e",
        "GENERATOR_API_KEY",
        "-e",
        "GENERATOR_PROVIDER",
        "-e",
        "GENERATOR_MODEL",
        "-e",
        "PATTERN_DIRECTORY",
        "-e",
        "EMBEDDER_PROVIDER",
        "-e",
        "EMBEDDER_API_KEY",
        "docker.io/olkowa/agent-pattern-mcp:1.0.4",
        "--transport",
        "stdio"
      ],
      "enabled": true,
      "environment": {
        "GENERATOR_API_KEY": "{env:GENERATOR_API_KEY}",
        "GENERATOR_PROVIDER": "openai",
        "GENERATOR_MODEL": "gpt-4o-mini",
        "PATTERN_DIRECTORY": "/app/pattern",
        "EMBEDDER_PROVIDER": "tei",
        "EMBEDDER_API_KEY": "{env:EMBEDDER_API_KEY}"
      }
    }
  }
}
{
  "mcpServers": {
    "agent-pattern-mcp": {
      "command": "docker",
      "args": [
        "--add-host",
        "host.docker.internal:host-gateway",
        "-e",
        "GENERATOR_API_KEY",
        "-e",
        "GENERATOR_PROVIDER",
        "-e",
        "GENERATOR_MODEL",
        "-e",
        "PATTERN_DIRECTORY",
        "-e",
        "EMBEDDER_PROVIDER",
        "-e",
        "EMBEDDER_API_KEY",
        "docker.io/olkowa/agent-pattern-mcp:1.0.4",
        "--transport",
        "stdio"
      ],
      "env": {
        "GENERATOR_API_KEY": "${GENERATOR_API_KEY}",
        "GENERATOR_PROVIDER": "openai",
        "GENERATOR_MODEL": "gpt-4o-mini",
        "PATTERN_DIRECTORY": "/app/pattern",
        "EMBEDDER_PROVIDER": "tei",
        "EMBEDDER_API_KEY": "${EMBEDDER_API_KEY}"
      }
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=agent-pattern-mcp&config=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%3D"
}
{
  "servers": {
    "agent-pattern-mcp": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "--add-host",
        "host.docker.internal:host-gateway",
        "-e",
        "GENERATOR_API_KEY",
        "-e",
        "GENERATOR_PROVIDER",
        "-e",
        "GENERATOR_MODEL",
        "-e",
        "PATTERN_DIRECTORY",
        "-e",
        "EMBEDDER_PROVIDER",
        "-e",
        "EMBEDDER_API_KEY",
        "docker.io/olkowa/agent-pattern-mcp:1.0.4",
        "--transport",
        "stdio"
      ],
      "env": {
        "GENERATOR_API_KEY": "${GENERATOR_API_KEY}",
        "GENERATOR_PROVIDER": "openai",
        "GENERATOR_MODEL": "gpt-4o-mini",
        "PATTERN_DIRECTORY": "/app/pattern",
        "EMBEDDER_PROVIDER": "tei",
        "EMBEDDER_API_KEY": "${EMBEDDER_API_KEY}"
      }
    }
  }
}
{
  "mcpServers": {
    "agent-pattern-mcp": {
      "command": "docker",
      "args": [
        "--add-host",
        "host.docker.internal:host-gateway",
        "-e",
        "GENERATOR_API_KEY",
        "-e",
        "GENERATOR_PROVIDER",
        "-e",
        "GENERATOR_MODEL",
        "-e",
        "PATTERN_DIRECTORY",
        "-e",
        "EMBEDDER_PROVIDER",
        "-e",
        "EMBEDDER_API_KEY",
        "docker.io/olkowa/agent-pattern-mcp:1.0.4",
        "--transport",
        "stdio"
      ],
      "env": {
        "GENERATOR_API_KEY": "${GENERATOR_API_KEY}",
        "GENERATOR_PROVIDER": "openai",
        "GENERATOR_MODEL": "gpt-4o-mini",
        "PATTERN_DIRECTORY": "/app/pattern",
        "EMBEDDER_PROVIDER": "tei",
        "EMBEDDER_API_KEY": "${EMBEDDER_API_KEY}"
      }
    }
  }
}
extensions:
  "agent-pattern-mcp":
    enabled: true
    name: "agent-pattern-mcp"
    type: stdio
    cmd: "docker"
    args:
      - "--add-host"
      - "host.docker.internal:host-gateway"
      - "-e"
      - "GENERATOR_API_KEY"
      - "-e"
      - "GENERATOR_PROVIDER"
      - "-e"
      - "GENERATOR_MODEL"
      - "-e"
      - "PATTERN_DIRECTORY"
      - "-e"
      - "EMBEDDER_PROVIDER"
      - "-e"
      - "EMBEDDER_API_KEY"
      - "docker.io/olkowa/agent-pattern-mcp:1.0.4"
      - "--transport"
      - "stdio"
    envs:
      "GENERATOR_API_KEY": "${GENERATOR_API_KEY}"
      "GENERATOR_PROVIDER": "openai"
      "GENERATOR_MODEL": "gpt-4o-mini"
      "PATTERN_DIRECTORY": "/app/pattern"
      "EMBEDDER_PROVIDER": "tei"
      "EMBEDDER_API_KEY": "${EMBEDDER_API_KEY}"
    timeout: 300

Placeholders to fill from your own secret store: ${GENERATOR_API_KEY}, ${EMBEDDER_API_KEY}. The registry never accepts secret values.

This is a local package: the command runs on your machine.

Quality – / 100not scored

Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.

protocoln/a · weight 25
  • n/a
    protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygienen/a · weight 30
  • n/a
    tools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)
stabilityn/a · weight 15
  • n/a
    stability.changes, stability.rug_pulltool list unknown
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

Tool list unknown · checked 2026-10-19 15:48 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 90 / 100

provenance80
livenessn/a
freshness100
hygiene95

+repository +namespace-matches-repo ~liveness-unmeasured +updated-10d-ago -unpinned-packages(1)

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

packageregistryversionruntimesecrets
docker.io/olkowa/agent-pattern-mcp:1.0.4ociunpinneddockerGENERATOR_API_KEY, EMBEDDER_API_KEY

Tools (0)

No tools observed. Local packages are never executed by the registry.

Schemas: list_tools.

Similar MCP servers

More from io.github.olk

Official server.json
{
  "name": "io.github.olk/agent-pattern-mcp",
  "title": "Agent Pattern MCP",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "version": "1.0.4",
  "packages": [
    {
      "transport": {
        "type": "stdio"
      },
      "identifier": "docker.io/olkowa/agent-pattern-mcp:1.0.4",
      "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",
          "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 61-pattern catalog 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",
          "description": "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)."
        },
        {
          "name": "EMBEDDER_API_KEY",
          "format": "string",
          "default": "not-needed",
          "isSecret": true,
          "description": "API key for the embedder. Required for startup even with keyless TEI; use 'not-needed' there."
        },
        {
          "name": "RERANKER_BASE_URL",
          "format": "string",
          "description": "TEI cross-encoder reranker endpoint used during pattern retrieval."
        }
      ]
    }
  ],
  "repository": {
    "url": "https://github.com/olk/agent-pattern-mcp",
    "source": "github"
  },
  "description": "MCP server that provides AI agent pattern expertise for designing agent systems"
}