Deployment¶
This page covers running archimate-mcp as a long-lived server: the transports, a
Docker Compose stack, the companion A2A agent server, putting it behind a Caddy
reverse proxy, and giving it a DNS name with Technitium.
archimate-mcpships two entry points: an MCP server (console scriptarchimate-mcp) and an A2A agent server (console scriptarchimate-agent). The MCP server is a typed, deterministic tool surface a policy router or agent calls; the agent server wraps that surface as a Pydantic-AI agent for graph-orchestrated workflows.
Run the MCP server¶
The transport is selected with --transport (or the TRANSPORT env var):
Health check (HTTP transports):
Configuration (environment)¶
archimate-mcp is configured entirely from the environment. The required set:
| Var | Default | Meaning |
|---|---|---|
ARCHI_MODEL_PATH |
./model.archimate |
Working model file (Open Exchange Format) |
ARCHITOOL |
True |
Register the ArchiMate tool set |
Plus HOST / PORT / TRANSPORT for HTTP transports. Copy
.env.example
to .env and adjust the values you need.
Docker Compose¶
The repo ships docker/mcp.compose.yml.
A production stack reads a sibling .env, persists the model file on a volume, and
publishes the HTTP server on :8000:
services:
archimate-mcp:
image: knucklessg1/archimate-mcp:latest
container_name: archimate-mcp
hostname: archimate-mcp
restart: always
env_file:
- .env
environment:
- PYTHONUNBUFFERED=1
- HOST=0.0.0.0
- PORT=8000
- TRANSPORT=streamable-http
- ARCHI_MODEL_PATH=/data/model.archimate
volumes:
- archimate_data:/data
ports:
- "8000:8000"
healthcheck:
test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')"]
interval: 30s
timeout: 10s
retries: 3
volumes:
archimate_data:
cp .env.example .env # then edit ARCHI_MODEL_PATH if needed
docker compose -f docker/mcp.compose.yml up -d
docker compose -f docker/mcp.compose.yml logs -f
A2A agent server¶
The companion agent server (console script archimate-agent) wraps the same tool
surface as a Pydantic-AI agent. It connects to a running MCP server via MCP_URL
and exposes the agent capabilities declared in
a2a.json.
# Point the agent at the MCP server and serve it on :8001
export MCP_URL=http://archimate-mcp:8000/mcp
archimate-agent --host 0.0.0.0 --port 8001
A combined stack from
docker/agent.compose.yml
runs the MCP server and wires the agent to it by container name:
services:
archimate-mcp:
image: knucklessg1/archimate-mcp:latest
hostname: archimate-mcp
environment:
- TRANSPORT=streamable-http
- HOST=0.0.0.0
- PORT=8000
- ARCHI_MODEL_PATH=/data/model.archimate
volumes:
- archimate_data:/data
ports:
- "8000:8000"
archimate-agent:
image: knucklessg1/archimate-mcp:latest
command: ["archimate-agent", "--host", "0.0.0.0", "--port", "8001"]
depends_on: [archimate-mcp]
environment:
- MCP_URL=http://archimate-mcp:8000/mcp
- HOST=0.0.0.0
- PORT=8001
ports:
- "8001:8001"
volumes:
archimate_data:
Behind a Caddy reverse proxy¶
Expose the HTTP server on a hostname with automatic TLS. Add to your Caddyfile:
# Internal (self-signed) — homelab .arpa zone
archimate-mcp.arpa {
tls internal
reverse_proxy archimate-mcp:8000
}
Reload Caddy:
DNS with Technitium¶
Point the hostname at the host running Caddy. Via the Technitium API:
curl -s "http://technitium.arpa:5380/api/zones/records/add" \
--data-urlencode "token=$TECHNITIUM_DNS_TOKEN" \
--data-urlencode "domain=archimate-mcp.arpa" \
--data-urlencode "zone=arpa" \
--data-urlencode "type=A" \
--data-urlencode "ipAddress=10.0.0.10" \
--data-urlencode "ttl=3600"
…or add an A record archimate-mcp.arpa → <caddy-host-ip> in the Technitium web
console (http://technitium.arpa:5380). The ecosystem
technitium-dns-mcp automates
this as a tool.
Register with an MCP client¶
Add to your client's mcp_config.json (multiplexer nickname archi):
{
"mcpServers": {
"archimate-mcp": {
"command": "uv",
"args": ["run", "archimate-mcp"],
"env": {
"ARCHI_MODEL_PATH": "./model.archimate",
"ARCHITOOL": "True"
}
}
}
}
For a remote HTTP server, point the client at http://archimate-mcp.arpa/mcp instead.