Deployment¶
Deployment Options¶
owncast-agent exposes its MCP server (console script owncast-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": {
"owncast-mcp": {
"command": "uvx",
"args": ["--from", "owncast-agent", "owncast-mcp"],
"env": {
"OWNCAST_URL": "<your-owncast_url>",
"OWNCAST_TOKEN": "<your-owncast_token>"
}
}
}
}
2. Streamable-HTTP (local process)¶
Run the server as a long-lived HTTP process:
uvx --from owncast-agent owncast-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": {
"owncast-mcp": {
"command": "uvx",
"args": ["--from", "owncast-agent", "owncast-mcp", "--transport", "streamable-http", "--port", "8000"],
"env": {
"TRANSPORT": "streamable-http",
"HOST": "0.0.0.0",
"PORT": "8000",
"OWNCAST_URL": "<your-owncast_url>",
"OWNCAST_TOKEN": "<your-owncast_token>"
}
}
}
}
…or connect to the already-running process by URL:
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": {
"owncast-mcp": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"-e", "TRANSPORT=stdio",
"-e", "OWNCAST_URL=<your-owncast_url>",
"-e", "OWNCAST_TOKEN=<your-owncast_token>",
"knucklessg1/owncast-agent:latest"
]
}
}
}
(b) Run a local streamable-http container, then connect by URL:
docker run -d --name owncast-mcp -p 8000:8000 \
-e TRANSPORT=streamable-http \
-e PORT=8000 \
-e OWNCAST_URL="<your-owncast_url>" \
-e OWNCAST_TOKEN="<your-owncast_token>" \
knucklessg1/owncast-agent:latest
# or, from a clone of this repo:
docker compose -f docker/mcp.compose.yml up -d
(c) From a local checkout with uv:
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:
Caddy reverse-proxies http://owncast-mcp.arpa to the container's :8000
streamable-http listener; http://owncast-mcp.arpa/health returns
{"status":"OK"} when the service is live.
This page covers running owncast-agent as a long-lived server: 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 Owncast
server it connects to, see Backing Platform.
owncast-agentships an MCP server (console scriptowncast-mcp) and a companion A2A agent server (console scriptowncast-agent). The MCP server is a typed, deterministic tool surface a policy router / agent calls; the agent server is a Pydantic-AI agent that consumes those tools.
Run the MCP server¶
The transport is selected with --transport (or the TRANSPORT env var):
Health check (HTTP transports):
Configuration (environment)¶
owncast-agent is configured entirely from the environment. The required set:
| Var | Default | Meaning |
|---|---|---|
OWNCAST_URL |
http://localhost:9000 |
Owncast server base URL |
OWNCAST_TOKEN |
(empty) | Owncast admin / integration access token |
TRANSPORT |
stdio |
MCP transport: stdio, streamable-http, sse |
HOST |
0.0.0.0 |
Bind address (HTTP transports) |
PORT |
8000 |
Bind port (HTTP transports) |
INTERNALTOOL |
True |
Register the internal tool group |
OBJECTSTOOL |
True |
Register the objects tool group |
EXTERNALTOOL |
True |
Register the external tool group |
CHATTOOL |
True |
Register the chat tool group |
Optional telemetry and access-governance settings (ENABLE_OTEL, OTEL_*,
EUNOMIA_*, DEFAULT_AGENT_NAME) are 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:
owncast-agent-mcp:
image: knucklessg1/owncast-agent:latest
container_name: owncast-agent-mcp
hostname: owncast-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 OWNCAST_URL / OWNCAST_TOKEN
docker compose -f docker/mcp.compose.yml up -d
docker compose -f docker/mcp.compose.yml logs -f
A2A agent server¶
owncast-agent also ships a Pydantic-AI agent server (console script
owncast-agent). It connects to the MCP server over HTTP and exposes an A2A / AG-UI
endpoint, optionally with a web interface and OpenTelemetry tracing.
export OWNCAST_URL=http://your-owncast:8080
export OWNCAST_TOKEN=your_owncast_token
owncast-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. The agent listens on
:9004 and reaches the MCP server by container name through MCP_URL:
services:
owncast-agent-mcp:
image: knucklessg1/owncast-agent:latest
hostname: owncast-agent-mcp
env_file: [../.env]
environment:
- HOST=0.0.0.0
- PORT=8000
- TRANSPORT=streamable-http
ports: ["8000:8000"]
owncast-agent-agent:
image: knucklessg1/owncast-agent:latest
depends_on: [owncast-agent-mcp]
command: ["owncast-agent"]
env_file: [../.env]
environment:
- HOST=0.0.0.0
- PORT=9004
- MCP_URL=http://owncast-agent-mcp:8000/mcp
- PROVIDER=${PROVIDER:-openai}
- MODEL_ID=${MODEL_ID:-gpt-4o}
- ENABLE_WEB_UI=True
ports: ["9004:9004"]
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
owncast-agent.arpa {
tls internal
reverse_proxy owncast-agent-mcp:8000
}
# Public — automatic Let's Encrypt
owncast-agent.example.com {
reverse_proxy owncast-agent-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=owncast-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 owncast-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:
{
"mcpServers": {
"owncast-agent": {
"command": "uv",
"args": ["run", "owncast-mcp"],
"env": {
"OWNCAST_URL": "http://your-owncast:8080",
"OWNCAST_TOKEN": "your_owncast_token"
}
}
}
}
For a remote HTTP server, point the client at http://owncast-agent.arpa/mcp instead.