Agent Pattern MCP
mcpotherio.github.olk/agent-pattern-mcp · v1.0.4
MCP server that provides AI agent pattern expertise for designing agent systems
run it
on your own machines, one way per deploy methodgenerated from the record, not tested yet
CHANGE_ME: check the image's README for its transport and port; this assumes streamable HTTP at :8000/mcp. If it speaks stdio only, use it from clients/mcp.json as a `docker run -i` command instead.
#!/usr/bin/env bash
# agent-pattern (io.github.olk/agent-pattern-mcp), recipe docker (generated).
# Generated by Hub for toolset "my-agent"; started by mcp-my-agent-agent-pattern.service.
set -euo pipefail
export HOST=127.0.0.1 PORT=8101
exec docker run --rm --name mcp-my-agent-agent-pattern -p 127.0.0.1:${PORT}:8000 --env-file /etc/mcp/my-agent.env docker.io/olkowa/agent-pattern-mcp:1.0.4
[Unit]
Description=MCP server agent-pattern (toolset my-agent), generated by Hub
After=network-online.target docker.service
Wants=network-online.target
[Service]
Type=simple
User=mcp
Group=mcp
SupplementaryGroups=docker
EnvironmentFile=/etc/mcp/my-agent.env
Environment=HOME=/var/lib/mcp/agent-pattern
WorkingDirectory=/var/lib/mcp/agent-pattern
ExecStart=/opt/mcp/my-agent/bin/agent-pattern.sh
Restart=on-failure
RestartSec=5
NoNewPrivileges=true
ProtectSystem=strict
ProtectHome=true
PrivateTmp=true
ReadWritePaths=/var/lib/mcp/agent-pattern
[Install]
WantedBy=multi-user.target
generated from the record, not tested yet
CHANGE_ME: check the image's README for its transport and port; this assumes streamable HTTP at :8000/mcp. If it speaks stdio only, use it from clients/mcp.json as a `docker run -i` command instead.
docker run --rm -p 127.0.0.1:8101:8000 -e GENERATOR_API_KEY -e GENERATOR_PROVIDER -e GENERATOR_MODEL -e GENERATOR_BASE_URL -e PATTERN_DIRECTORY -e EMBEDDER_PROVIDER -e EMBEDDER_BASE_URL -e EMBEDDER_API_KEY -e RERANKER_BASE_URL docker.io/olkowa/agent-pattern-mcp:1.0.4
generated from the record, not tested yet
CHANGE_ME: check the image's README for its transport and port; this assumes streamable HTTP at :8000/mcp. If it speaks stdio only, use it from clients/mcp.json as a `docker run -i` command instead.
# Generated by Hub for toolset "my-agent" (2026-10-18T11:46:55+00:00).
# Each package server runs behind a stdio->HTTP bridge and listens on localhost only.
# cp .env.example .env # fill the ${VAR}s
# docker compose up -d && bash smoke.sh
# Remote servers are not here: clients reach them directly (see clients/).
name: mcp-my-agent
services:
agent-pattern:
image: docker.io/olkowa/agent-pattern-mcp:1.0.4
ports:
- 127.0.0.1:8101:8000
restart: unless-stopped
x-note: 'CHANGE_ME: check the image''s README for its transport and port; this assumes streamable
HTTP at :8000/mcp. If it speaks stdio only, use it from clients/mcp.json as a `docker run -i` command
instead.'
environment:
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}
volumes:
npm-cache: {}
uv-cache: {}
generated from the record, not tested yet
CHANGE_ME: check the image's README for its transport and port; this assumes streamable HTTP at :8000/mcp. If it speaks stdio only, use it from clients/mcp.json as a `docker run -i` command instead.
# Generated by Hub for toolset "my-agent" (2026-10-18T11:46:55+00:00).
# kubectl create namespace mcp
# kubectl -n mcp create secret generic mcp-credentials --from-env-file=.env
# kubectl apply -f kubernetes.yaml
# Services are cluster-internal: <name>.mcp.svc.cluster.local:8000/mcp. Put an ingress
# with auth in front before exposing any of them.
apiVersion: v1
kind: Namespace
metadata:
name: mcp
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: agent-pattern
namespace: mcp
labels: &id001
app: agent-pattern
spec:
replicas: 1
selector:
matchLabels: *id001
template:
metadata:
labels: *id001
spec:
containers:
- name: agent-pattern
image: docker.io/olkowa/agent-pattern-mcp:1.0.4
ports:
- containerPort: 8000
name: http
env:
- name: GENERATOR_API_KEY
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GENERATOR_API_KEY
- name: GENERATOR_PROVIDER
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GENERATOR_PROVIDER
- name: GENERATOR_MODEL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GENERATOR_MODEL
- name: GENERATOR_BASE_URL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GENERATOR_BASE_URL
- name: PATTERN_DIRECTORY
valueFrom:
secretKeyRef:
name: mcp-credentials
key: PATTERN_DIRECTORY
- name: EMBEDDER_PROVIDER
valueFrom:
secretKeyRef:
name: mcp-credentials
key: EMBEDDER_PROVIDER
- name: EMBEDDER_BASE_URL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: EMBEDDER_BASE_URL
- name: EMBEDDER_API_KEY
valueFrom:
secretKeyRef:
name: mcp-credentials
key: EMBEDDER_API_KEY
- name: RERANKER_BASE_URL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: RERANKER_BASE_URL
---
apiVersion: v1
kind: Service
metadata:
name: agent-pattern
namespace: mcp
spec:
selector:
app: agent-pattern
ports:
- port: 8000
targetPort: http
name: http
generated from the record, not tested yet
CHANGE_ME: check the image's README for its transport and port; this assumes streamable HTTP at :8000/mcp. If it speaks stdio only, use it from clients/mcp.json as a `docker run -i` command instead.
# Generated by Hub for toolset "my-agent" (2026-10-18T11:46:55+00:00).
# Credentials come from the Secret 'mcp-credentials' (kubectl create secret generic ... --from-env-file=.env).
# Each server under `servers` is one Deployment + Service; the keys after it configure
# upstream charts a worker verified.
servers:
agent-pattern:
enabled: true
replicas: 1
port: 8000
path: /mcp
container:
name: agent-pattern
image: docker.io/olkowa/agent-pattern-mcp:1.0.4
ports:
- containerPort: 8000
name: http
env:
- name: GENERATOR_API_KEY
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GENERATOR_API_KEY
- name: GENERATOR_PROVIDER
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GENERATOR_PROVIDER
- name: GENERATOR_MODEL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GENERATOR_MODEL
- name: GENERATOR_BASE_URL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: GENERATOR_BASE_URL
- name: PATTERN_DIRECTORY
valueFrom:
secretKeyRef:
name: mcp-credentials
key: PATTERN_DIRECTORY
- name: EMBEDDER_PROVIDER
valueFrom:
secretKeyRef:
name: mcp-credentials
key: EMBEDDER_PROVIDER
- name: EMBEDDER_BASE_URL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: EMBEDDER_BASE_URL
- name: EMBEDDER_API_KEY
valueFrom:
secretKeyRef:
name: mcp-credentials
key: EMBEDDER_API_KEY
- name: RERANKER_BASE_URL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: RERANKER_BASE_URL
# helm install my-agent helm/my-agent -n mcp
in the cloud
one click: the provider's deploy form opens filled in, in your own account- koyeb
-
The form opens with CHANGE_ME for each value you supply: GENERATOR_API_KEY, GENERATOR_PROVIDER, GENERATOR_MODEL, GENERATOR_BASE_URL, PATTERN_DIRECTORY, EMBEDDER_PROVIDER, EMBEDDER_BASE_URL, EMBEDDER_API_KEY, RERANKER_BASE_URL. Fill them in before you deploy.
Clients connect to the service's https://…koyeb.app address plus /mcp.
- azure
-
A Container Apps environment with one app per server, each with HTTPS ingress and one replica. The portal asks for each value you supply as a secure parameter; the deployment's outputs list the endpoints.
connect to it
copy what your client needsdocker run -i --rm -e GENERATOR_API_KEY -e GENERATOR_PROVIDER -e GENERATOR_MODEL -e GENERATOR_BASE_URL -e PATTERN_DIRECTORY -e EMBEDDER_PROVIDER -e EMBEDDER_BASE_URL -e EMBEDDER_API_KEY -e RERANKER_BASE_URL docker.io/olkowa/agent-pattern-mcp:1.0.4
{
"mcpServers": {
"agent-pattern": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GENERATOR_API_KEY",
"-e",
"GENERATOR_PROVIDER",
"-e",
"GENERATOR_MODEL",
"-e",
"GENERATOR_BASE_URL",
"-e",
"PATTERN_DIRECTORY",
"-e",
"EMBEDDER_PROVIDER",
"-e",
"EMBEDDER_BASE_URL",
"-e",
"EMBEDDER_API_KEY",
"-e",
"RERANKER_BASE_URL",
"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}"
}
}
}
}
#!/usr/bin/env bash
# Registers every server with Claude Code (run once; `claude mcp list` to check).
set -euo pipefail
set -a; [ -f .env ] && source .env; set +a
claude mcp add agent-pattern -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=${RERANKER_BASE_URL}" -- docker run -i --rm -e GENERATOR_API_KEY -e GENERATOR_PROVIDER -e GENERATOR_MODEL -e GENERATOR_BASE_URL -e PATTERN_DIRECTORY -e EMBEDDER_PROVIDER -e EMBEDDER_BASE_URL -e EMBEDDER_API_KEY -e RERANKER_BASE_URL docker.io/olkowa/agent-pattern-mcp:1.0.4
{
"mcpServers": {
"agent-pattern": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GENERATOR_API_KEY",
"-e",
"GENERATOR_PROVIDER",
"-e",
"GENERATOR_MODEL",
"-e",
"GENERATOR_BASE_URL",
"-e",
"PATTERN_DIRECTORY",
"-e",
"EMBEDDER_PROVIDER",
"-e",
"EMBEDDER_BASE_URL",
"-e",
"EMBEDDER_API_KEY",
"-e",
"RERANKER_BASE_URL",
"docker.io/olkowa/agent-pattern-mcp:1.0.4"
],
"env": {
"GENERATOR_API_KEY": "${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": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GENERATOR_API_KEY",
"-e",
"GENERATOR_PROVIDER",
"-e",
"GENERATOR_MODEL",
"-e",
"GENERATOR_BASE_URL",
"-e",
"PATTERN_DIRECTORY",
"-e",
"EMBEDDER_PROVIDER",
"-e",
"EMBEDDER_BASE_URL",
"-e",
"EMBEDDER_API_KEY",
"-e",
"RERANKER_BASE_URL",
"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}"
}
}
}
}
name: my-agent target: local servers: - hub: io.github.olk/agent-pattern-mcp
- not probed yet: tools unpinned, ingest lists them
tools
Not probed yetThe tools appear once the hub or its worker has listed this entry. Running it still works: your client lists them on first start.