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Deployment

Deployment Options

postiz-agent exposes its MCP server (console script postiz-mcp) four ways. Pick the row that matches where the server runs relative to your MCP client, then copy the matching mcp_config.json below. Replace the <your-…> placeholders with the values from the Configuration / Environment Variables section.

# Option Transport Where it runs mcp_config.json key
1 stdio stdio client launches a subprocess command
2 Streamable-HTTP (local) streamable-http a local network port command or url
3 Local container / uv stdio or streamable-http Docker / Podman / uv on this host command or url
4 Remote URL streamable-http a remote host behind Caddy url

1. stdio (local subprocess)

The client launches the server over stdio via uvx — best for local IDEs (Cursor, Claude Desktop, VS Code):

{
  "mcpServers": {
    "postiz-mcp": {
      "command": "uvx",
      "args": ["--from", "postiz-agent", "postiz-mcp"],
      "env": {
        "POSTIZ_URL": "<your-postiz_url>"
      }
    }
  }
}

2. Streamable-HTTP (local process)

Run the server as a long-lived HTTP process:

uvx --from postiz-agent postiz-mcp --transport streamable-http --host 0.0.0.0 --port 8000
curl -s http://localhost:8000/health        # {"status":"OK"}

Then either let the client launch it:

{
  "mcpServers": {
    "postiz-mcp": {
      "command": "uvx",
      "args": ["--from", "postiz-agent", "postiz-mcp", "--transport", "streamable-http", "--port", "8000"],
      "env": {
        "TRANSPORT": "streamable-http",
        "HOST": "0.0.0.0",
        "PORT": "8000",
        "POSTIZ_URL": "<your-postiz_url>"
      }
    }
  }
}

…or connect to the already-running process by URL:

{
  "mcpServers": {
    "postiz-mcp": { "url": "http://localhost:8000/mcp" }
  }
}

3. Local container / uv

(a) Launch a container directly from mcp_config.json (stdio over the container — no ports to manage). Swap docker for podman for a daemonless runtime:

{
  "mcpServers": {
    "postiz-mcp": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "TRANSPORT=stdio",
        "-e", "POSTIZ_URL=<your-postiz_url>",
        "knucklessg1/postiz-agent:latest"
      ]
    }
  }
}

(b) Run a local streamable-http container, then connect by URL:

docker run -d --name postiz-mcp -p 8000:8000 \
  -e TRANSPORT=streamable-http \
  -e PORT=8000 \
  -e POSTIZ_URL="<your-postiz_url>" \
  knucklessg1/postiz-agent:latest
# or, from a clone of this repo:
docker compose -f docker/mcp.compose.yml up -d
{
  "mcpServers": {
    "postiz-mcp": { "url": "http://localhost:8000/mcp" }
  }
}

(c) From a local checkout with uv:

uv run postiz-mcp --transport streamable-http --port 8000

4. Remote URL (deployed behind Caddy)

When the server is deployed remotely (e.g. as a Docker service) and published through Caddy on the internal *.arpa zone, connect with the "url" key — no local process or image required:

{
  "mcpServers": {
    "postiz-mcp": { "url": "http://postiz-mcp.arpa/mcp" }
  }
}

Caddy reverse-proxies http://postiz-mcp.arpa to the container's :8000 streamable-http listener; http://postiz-mcp.arpa/health returns {"status":"OK"} when the service is live.

This page covers running postiz-agent as a long-lived service: the transports, a Docker Compose stack, the optional A2A agent server, putting it behind a Caddy reverse proxy, and giving it a DNS name with Technitium. To provision the Postiz instance it connects to, see Backing Platform.

postiz-agent ships two console scripts: an MCP server (postiz-mcp) — a typed, deterministic tool surface a policy router or agent calls — and an A2A agent server (postiz-agent) that exposes the same capability to other agents over the agent-to-agent protocol.

Run the MCP server

The transport is selected with --transport (or the TRANSPORT env var):

postiz-mcp
For IDE / desktop MCP clients that launch the server as a subprocess.

postiz-mcp --transport streamable-http --host 0.0.0.0 --port 8000
A network server with a /health endpoint and /mcp route.

postiz-mcp --transport sse --host 0.0.0.0 --port 8000

Health check (HTTP transports):

curl -s http://localhost:8000/health        # {"status":"OK"}

Configuration (environment)

postiz-agent is configured entirely from the environment. The required set:

Var Default Meaning
POSTIZ_URL https://api.postiz.com/public/v1 Postiz Public API base URL
POSTIZ_TOKEN (empty) Postiz API token
POSTIZ_SSL_VERIFY True Verify TLS certs (preferred over POSTIZ_AGENT_VERIFY)
POSTIZ_AGENT_VERIFY True Verify TLS (set False for self-signed homelab)
AUTH_TYPE token Authentication mode
HOST 0.0.0.0 Bind address (HTTP transports)
PORT 8000 Bind port (HTTP transports)
TRANSPORT stdio stdio, streamable-http, or sse

Six tool toggles control which domains register: INTEGRATIONSTOOL, POSTSTOOL, UPLOADSTOOL, ANALYTICSTOOL, NOTIFICATIONSTOOL, VIDEOTOOL (all default True). The full set — including the OpenTelemetry and Eunomia governance variables — is documented in .env.example. Copy it to .env and fill in only what you use.

Docker Compose

The repo ships docker/mcp.compose.yml. It reads a sibling .env and publishes the HTTP server on :8000:

services:
  postiz-agent-mcp:
    image: knucklessg1/postiz-agent:latest
    container_name: postiz-agent-mcp
    hostname: postiz-agent-mcp
    restart: always
    env_file:
      - ../.env
    environment:
      - PYTHONUNBUFFERED=1
      - HOST=0.0.0.0
      - PORT=8000
      - TRANSPORT=streamable-http
    ports:
      - "8000:8000"
    healthcheck:
      test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')"]
      interval: 30s
      timeout: 10s
      retries: 3
cp .env.example .env          # then edit POSTIZ_* values
docker compose -f docker/mcp.compose.yml up -d
docker compose -f docker/mcp.compose.yml logs -f

A2A agent server

postiz-agent also ships an A2A agent server (console script postiz-agent) that wraps the MCP tool surface in a Pydantic-AI agent and serves it over the agent-to-agent protocol on port 9004. It connects back to the MCP server via MCP_URL.

postiz-agent --provider openai --model-id gpt-4o --api-key sk-...

The repo ships docker/agent.compose.yml, which runs the MCP server and the agent server together and wires the agent to the MCP server by container name:

services:
  postiz-agent-mcp:
    image: knucklessg1/postiz-agent:latest
    container_name: postiz-agent-mcp
    hostname: postiz-agent-mcp
    restart: always
    env_file:
      - ../.env
    environment:
      - PYTHONUNBUFFERED=1
      - HOST=0.0.0.0
      - PORT=8000
      - TRANSPORT=streamable-http
    ports:
      - "8000:8000"

  postiz-agent-agent:
    image: knucklessg1/postiz-agent:latest
    container_name: postiz-agent-agent
    hostname: postiz-agent-agent
    restart: always
    depends_on:
      - postiz-agent-mcp
    env_file:
      - ../.env
    command: [ "postiz-agent" ]
    environment:
      - PYTHONUNBUFFERED=1
      - HOST=0.0.0.0
      - PORT=9004
      - MCP_URL=http://postiz-agent-mcp:8000/mcp
      - PROVIDER=${PROVIDER:-openai}
      - MODEL_ID=${MODEL_ID:-gpt-4o}
      - ENABLE_WEB_UI=True
    ports:
      - "9004:9004"
docker compose -f docker/agent.compose.yml up -d

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
postiz-agent.arpa {
    tls internal
    reverse_proxy postiz-agent-mcp:8000
}
# Public — automatic Let's Encrypt
postiz-agent.example.com {
    reverse_proxy postiz-agent-mcp:8000
}

Reload Caddy:

docker compose -f services/caddy/compose.yml exec caddy caddy reload --config /etc/caddy/Caddyfile

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=postiz-agent.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 postiz-agent.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 postiz):

{
  "mcpServers": {
    "postiz-agent": {
      "command": "uv",
      "args": ["run", "postiz-mcp"],
      "env": {
        "POSTIZ_URL": "https://api.postiz.com/public/v1",
        "POSTIZ_TOKEN": "your_postiz_token"
      }
    }
  }
}

For a remote HTTP server, point the client at http://postiz-agent.arpa/mcp instead.