Command Palette

Search for a command to run...

UnylyUnyly
Browse all

HDHomeRun

FreeNot checked

MCP server for SiliconDust HDHomeRun network TV tuners, providing tools to control and query tuners, manage DVR recordings, and run diagnostics.

GitHubEmbed

About

MCP server for SiliconDust HDHomeRun network TV tuners, providing tools to control and query tuners, manage DVR recordings, and run diagnostics.

README

CLI or API | MCP | Agent

PyPI - Version MCP Server PyPI - Downloads GitHub Repo stars PyPI - License GitHub last commit (by committer)

Version: 1.1.0

Documentation — Installation, deployment, usage across the API, CLI, and MCP interfaces, the integrated A2A agent server, and guidance for provisioning the backing platform are maintained in the official documentation.


Table of Contents


Overview

HDHomeRun MCP MCP Server + A2A Agent

A complete client + MCP server + A2A agent for SiliconDust HDHomeRun network TV tuners, covering all four of SiliconDust's documented interfaces: the HTTP JSON API (device discovery, channel lineup, scan control), the DVR API (SiliconDust cloud recording rules + local record-engine operations), the Discovery API (local UDP broadcast on port 65001 + the cloud discovery endpoint), and the binary hdhomerun_config control protocol (TCP port 65001 — a different wire protocol from the HTTP API, used for per-tuner status/vstatus/streaminfo/tuning/filters). Also ships a doctor diagnostic tool matching this fleet's cm_doctor convention.

This repository is actively maintained - Contributions are welcome!

Key Features

  • All four HDHomeRun interfaces, one package — HTTP JSON API, DVR API, Discovery API (local UDP + cloud), and the binary hdhomerun_config control protocol, each its own action-routed tool domain.
  • doctor diagnostics — one call checks device reachability, firmware/model, tuner count vs. a paired Jellyfin instance, per-channel signal strength, DeviceAuth presence/validity, and discovery-cache freshness — pass/fail with an actionable next step per check.
  • Action-routed MCP tools — each domain is exposed as a single MCP tool that routes to many underlying operations via an action argument, keeping the tool surface small.
  • Three interfaces, one package — use it as a Python API client, an MCP server (stdio / streamable-http / sse), or a Pydantic-AI A2A agent.
  • agent-utilities native — built on the shared framework (auth, action router, telemetry, governance) for fleet consistency.
  • Per-tool toggles — enable or disable each tool domain with environment switches.
  • Enterprise-ready — OTEL/Langfuse telemetry and optional Eunomia access governance.

Available MCP Tools

Each tool is action-routed: pass an action and a JSON params_json payload. Tool domains can be toggled on or off with the listed environment variable. The table below is auto-generated from the live server by the mcp-readme-table pre-commit hook (python -m agent_utilities.mcp.readme_tools) — do not edit it by hand.

Condensed action-routed tools (MCP_TOOL_MODE=condensed)

MCP Tool Toggle Env Var Description
config_operations CONFIGTOOL Query/control a tuner via the binary hdhomerun_config TCP control
discovery_operations DISCOVERYTOOL Discover HDHomeRun devices on the network — local UDP broadcast
doctor_operations DOCTORTOOL Diagnose an HDHomeRun deployment: device reachability, firmware/model,
dvr_operations DVRTOOL Manage the SiliconDust cloud DVR recording-rules API and the local
http_operations HTTPTOOL Query the HDHomeRun device HTTP JSON API — discover.json, channel

Verbose 1:1 API-mapped tools (MCP_TOOL_MODE=verbose or both)

57 per-operation tools — one per public API method (click to expand)
MCP Tool Toggle Env Var Description
hdhomerun_abort_scan HTTPTOOL POST /lineup.post?scan=abort — cancel an in-progress channel scan.
hdhomerun_add_datetime_rule DVRTOOL Add a DateTimeOnly-ChannelOnly rule (record one specific airing).
hdhomerun_add_series_rule DVRTOOL Add a Series (or Movie) recording rule for a SeriesID.
hdhomerun_build_live_tv_url DVRTOOL Build a record-engine buffered Live TV URL.
hdhomerun_build_stream_url HTTPTOOL Build a live-stream URL: /{auto|tuner}/{v|ch[-]}.
hdhomerun_change_rule DVRTOOL Modify a rule, or reprioritize it via after_recording_rule_id.
hdhomerun_check_device_auth DOCTORTOOL Invoke the check_device_auth operation.
hdhomerun_check_device_reachable DOCTORTOOL Invoke the check_device_reachable operation.
hdhomerun_check_discovery_cache_freshness DOCTORTOOL Invoke the check_discovery_cache_freshness operation.
hdhomerun_check_firmware_model DOCTORTOOL Invoke the check_firmware_model operation.
hdhomerun_check_signal_strength DOCTORTOOL Briefly tune each channel and sample ss/snq/seq, then release the tuner.
hdhomerun_check_tuner_count_vs_jellyfin DOCTORTOOL Invoke the check_tuner_count_vs_jellyfin operation.
hdhomerun_delete_recording DVRTOOL POST cmd=delete[&rerecord=1].
hdhomerun_delete_rule DVRTOOL Delete a Series/Movie rule (by RecordingRuleID or SeriesID) or a
hdhomerun_disable_lineup_location CONFIGTOOL Disable the lineup-server connection (/lineup/location disabled).
hdhomerun_discover_cloud DISCOVERYTOOL GET http://ipv4-api.hdhomerun.com/discover[?DeviceID=].
hdhomerun_discover_local_broadcast DISCOVERYTOOL Broadcast a DISCOVER_REQ on UDP port 65001 and collect DISCOVER_RPY replies.
hdhomerun_discover_local_targeted DISCOVERYTOOL Send a DISCOVER_REQ directly to a known IP (works across VLANs).
hdhomerun_get_channel CONFIGTOOL /tuner<n>/channel — current <modulation>:<frequency> or none.
hdhomerun_get_channelmap CONFIGTOOL /tuner<n>/channelmap — the configured channel-to-frequency map.
hdhomerun_get_discover HTTPTOOL GET /discover.json — FriendlyName/ModelNumber/FirmwareVersion/DeviceID/
hdhomerun_get_filter CONFIGTOOL /tuner<n>/filter — the current PID filter (default 0x0000-0x1FFF).
hdhomerun_get_help CONFIGTOOL get help — the list of get/set item paths this device supports.
hdhomerun_get_ir_target CONFIGTOOL /ir/target — the configured IR-blaster target IP:port.
hdhomerun_get_item CONFIGTOOL hdhomerun_config <id> get <item> — raw get of any supported item path.
hdhomerun_get_lineup HTTPTOOL GET /lineup.{json,xml,m3u} — the channel list.
hdhomerun_get_lineup_status HTTPTOOL GET /lineup_status.json — scan state.
hdhomerun_get_lockkey CONFIGTOOL /tuner<n>/lockkey — current tuner lock owner (none if unlocked).
hdhomerun_get_program CONFIGTOOL /tuner<n>/program — the current MPEG program (sub-channel) filter.
hdhomerun_get_record_engine_status DVRTOOL GET /discover.json — FriendlyName/Version/
hdhomerun_get_recorded_files DVRTOOL GET (recorded_files.json) — the list of recordings
hdhomerun_get_sys_copyright CONFIGTOOL /sys/copyright — the firmware copyright notice.
hdhomerun_get_sys_debug CONFIGTOOL /sys/debug — device-wide debug info.
hdhomerun_get_sys_features CONFIGTOOL /sys/features — supported channelmaps/modulations for this device.
hdhomerun_get_sys_model CONFIGTOOL /sys/model — the device model name.
hdhomerun_get_sys_version CONFIGTOOL /sys/version — the firmware version string.
hdhomerun_get_target CONFIGTOOL /tuner<n>/target — the current UDP/RTP streaming target.
hdhomerun_get_tuner_debug CONFIGTOOL /tuner<n>/debug — extended tun/dev/ts/flt/net diagnostic counters.
hdhomerun_get_tuner_status CONFIGTOOL /tuner<n>/statusch=... lock=... ss=... snq=... seq=... bps=... pps=....
hdhomerun_get_tuner_streaminfo CONFIGTOOL /tuner<n>/streaminfo — detected programs: <num>: <major>.<minor> [name].
hdhomerun_get_tuner_vstatus CONFIGTOOL /tuner<n>/vstatus — virtual-channel auth/CCI/CGMS status (model/firmware
hdhomerun_list_recording_rules DVRTOOL List all recording rules for the household's DeviceAuth(s).
hdhomerun_parse_tuner_status CONFIGTOOL Parse a ch=... lock=... ss=... snq=... seq=... bps=... pps=... status line.
hdhomerun_poke_record_engine DVRTOOL POST /recording_events.post?sync.
hdhomerun_restart_device CONFIGTOOL /sys/restart self — reboot the HDHomeRun. Destructive; use with care.
hdhomerun_run_doctor DOCTORTOOL Run every check and return the aggregate report.
hdhomerun_set_channel CONFIGTOOL /tuner<n>/channel set — e.g. auto:651000000 or auto:60; none to stop.
hdhomerun_set_channelmap CONFIGTOOL /tuner<n>/channelmap set — e.g. us-bcast/us-cable/us-hrc/us-irc.
hdhomerun_set_filter CONFIGTOOL /tuner<n>/filter set — e.g. 0x0000-0x1FFF or a space-separated PID list.
hdhomerun_set_ir_target CONFIGTOOL /ir/target set — <ip>:<port>.
hdhomerun_set_item CONFIGTOOL hdhomerun_config <id> set <item> <value> — raw set (implicit get-back).
hdhomerun_set_lineup_location CONFIGTOOL /lineup/location set — <countrycode>:<postcode> (or set to "disabled").
hdhomerun_set_lockkey CONFIGTOOL /tuner<n>/lockkey set/clear — pass lock=False to release.
hdhomerun_set_program CONFIGTOOL /tuner<n>/program set — filter to a single program (sub-channel) number.
hdhomerun_set_target CONFIGTOOL /tuner<n>/target set — e.g. udp://192.168.1.100:5000 or rtp://....
hdhomerun_start_scan HTTPTOOL POST /lineup.post?scan=start[&source=] — begin a channel scan.
hdhomerun_stop_tuner CONFIGTOOL Set /tuner<n>/channel none — release the tuner.

5 action-routed tool(s) · 57 verbose 1:1 tool(s). Each is enabled unless its <DOMAIN>TOOL toggle is set false; MCP_TOOL_MODE selects the surface (intent default — the six verb-tools, granular set loaded on demand · condensed action-routed · verbose 1:1 · both). Auto-generated — do not edit.

Installation

Install with uvx (no install — run on demand)

uvx --from "hdhomerun-mcp[mcp]" hdhomerun-mcp      # MCP server (slim deps)
uvx --from "hdhomerun-mcp[agent]" hdhomerun-agent  # A2A agent server (full runtime)

The [mcp] extra installs only the FastMCP/FastAPI MCP-server tooling (agent-utilities[mcp]) — it excludes the heavy agent runtime (the epistemic-graph engine, pydantic-ai, dspy, llama-index), so it is far smaller. Use [agent] only when you run the integrated agent.

Install with pip

python -m pip install hdhomerun-mcp            # core (API client)
python -m pip install "hdhomerun-mcp[all]"     # + MCP server + A2A agent + telemetry

Console scripts

After installation the following entry points are available on your PATH:

Command Description
hdhomerun-mcp Launch the MCP server
hdhomerun-agent Launch the A2A agent server

Usage

As a Python API client

from hdhomerun_mcp.auth import get_client

client = get_client()  # reads HDHOMERUN_URL / HDHOMERUN_DEVICE_AUTH
info = client.get_discover()          # device identity + tuner count
lineup = client.get_lineup()          # channel list
stream_url = client.build_stream_url("24.1")  # http://<device>:5004/auto/v24.1
report = client.run_doctor()          # full health-check sweep

As an MCP server (CLI)

# Local stdio (for IDEs)
hdhomerun-mcp

# Networked streamable-http
hdhomerun-mcp --transport streamable-http --host 0.0.0.0 --port 8000

Calling an MCP tool

Tools are action-routed — pass an action plus a JSON params_json string:

{
  "tool": "http_operations",
  "arguments": {
    "action": "discover",
    "params_json": "{}"
  }
}

MCP

Using as an MCP Server

The MCP Server can be run in stdio (local), streamable-http (networked), or sse mode.

Environment Variables

Package environment variables

Variable Example Description
HOST 0.0.0.0
PORT 8000
TRANSPORT stdio options: stdio, streamable-http, sse
ENABLE_OTEL True
OTEL_EXPORTER_OTLP_ENDPOINT http://localhost:8080/api/public/otel
OTEL_EXPORTER_OTLP_PROTOCOL http/protobuf
EUNOMIA_TYPE none options: none, embedded, remote
EUNOMIA_POLICY_FILE mcp_policies.json
EUNOMIA_REMOTE_URL http://eunomia-server:8000
HDHOMERUN_URL http://hdhomerun.local
HDHOMERUN_DEVICE_AUTH your_device_auth_here
HDHOMERUN_SSL_VERIFY True
MCP_TOOL_MODE condensed
HTTPTOOL True
DISCOVERYTOOL True
DVRTOOL True
CONFIGTOOL True
DOCTORTOOL True

Inherited agent-utilities variables (apply to every connector)

Variable Example Description
MCP_ENABLED_TOOLS Comma-separated tool allow-list
MCP_DISABLED_TOOLS Comma-separated tool deny-list
MCP_ENABLED_TAGS Comma-separated tag allow-list
MCP_DISABLED_TAGS Comma-separated tag deny-list
MCP_CLIENT_AUTH Outbound MCP child auth: oidc-client-credentials | basic | none
OIDC_CLIENT_ID OIDC client id (service-account auth)
OIDC_CLIENT_SECRET_REF secret://identity/oidc-client-secret Runtime secret reference for the OIDC service account
MCP_BASIC_AUTH_USERNAME HTTP Basic username (MCP_CLIENT_AUTH=basic)
MCP_BASIC_AUTH_PASSWORD_REF secret://identity/mcp-basic-password Runtime secret reference for HTTP Basic auth (MCP_CLIENT_AUTH=basic)
DEBUG False Verbose logging
PYTHONUNBUFFERED 1 Unbuffered stdout (recommended in containers)
MCP_URL http://localhost:8000/mcp URL of the MCP server the agent connects to
PROVIDER openai LLM provider for the agent
MODEL_ID gpt-4o Model id for the agent
ENABLE_WEB_UI True Serve the AG-UI web interface

18 package + 15 inherited variable(s). Auto-generated from .env.example + the shared agent-utilities set — do not edit.

  • HDHOMERUN_URL: The HDHomeRun device base URL (e.g. https://hdhomerun-device.example.invalid).
  • HDHOMERUN_DEVICE_AUTH: The device's DeviceAuth token (only needed for SiliconDust cloud DVR calls; rotates on reboot/firmware update — do not hardcode).

MCP Configuration Examples

Install the connector-focused [mcp] extra. Examples use hdhomerun-mcp[mcp] to add FastMCP / FastAPI through agent-utilities[mcp]; the required Agent Utilities core still carries epistemic-graph[full]. The [agent-runtime] extra additionally enables model orchestration.

stdio Transport (local IDEs — Cursor, Claude Desktop, VS Code)

{
  "mcpServers": {
    "hdhomerun-mcp": {
      "command": "uvx",
      "args": [
        "--from",
        "hdhomerun-mcp[mcp]",
        "hdhomerun-mcp"
      ],
      "env": {
        "MCP_TOOL_MODE": "intent",
        "CONFIGTOOL": "True",
        "DISCOVERYTOOL": "True",
        "DOCTORTOOL": "True",
        "DVRTOOL": "True",
        "HDHOMERUN_DEVICE_AUTH": "your_device_auth_here",
        "HDHOMERUN_SSL_VERIFY": "True",
        "HDHOMERUN_URL": "http://hdhomerun.local",
        "HTTPTOOL": "True"
      }
    }
  }
}

Runtime references require an alias-aware launcher such as GraphOS. Other launchers must omit those entries and inject the resolved values through their own runtime secret boundary.

Streamable-HTTP Transport (networked / production)

{
  "mcpServers": {
    "hdhomerun-mcp": {
      "command": "uvx",
      "args": [
        "--from",
        "hdhomerun-mcp[mcp]",
        "hdhomerun-mcp",
        "--transport",
        "streamable-http",
        "--port",
        "8000"
      ],
      "env": {
        "TRANSPORT": "streamable-http",
        "HOST": "127.0.0.1",
        "PORT": "8000",
        "MCP_TOOL_MODE": "intent",
        "CONFIGTOOL": "True",
        "DISCOVERYTOOL": "True",
        "DOCTORTOOL": "True",
        "DVRTOOL": "True",
        "HDHOMERUN_DEVICE_AUTH": "your_device_auth_here",
        "HDHOMERUN_SSL_VERIFY": "True",
        "HDHOMERUN_URL": "http://hdhomerun.local",
        "HTTPTOOL": "True"
      }
    }
  }
}

Alternatively, connect to a pre-deployed Streamable-HTTP instance by url:

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

Run a reviewed container image as a least-privilege stdio child (no listener or published port):

docker run -i --rm \
  --read-only \
  --cap-drop=ALL \
  --security-opt=no-new-privileges \
  --pids-limit=256 \
  --tmpfs /tmp:rw,noexec,nosuid,nodev,size=64m \
  -e TRANSPORT=stdio \
  -e MCP_TOOL_MODE=intent \
  -e CONFIGTOOL=True \
  -e DISCOVERYTOOL=True \
  -e DOCTORTOOL=True \
  -e DVRTOOL=True \
  -e HDHOMERUN_DEVICE_AUTH=your_device_auth_here \
  -e HDHOMERUN_SSL_VERIFY=True \
  -e HDHOMERUN_URL=http://hdhomerun.local \
  -e HTTPTOOL=True \
  registry.example.invalid/hdhomerun-mcp@sha256:<digest> hdhomerun-mcp

For containerized network HTTP, supply an authenticated TLS ingress (or direct server TLS), exact MCP_ALLOWED_HOSTS, and an exact trusted-proxy CIDR policy through the operator-owned deployment profile. The generator does not emit an unauthenticated non-loopback listener.

Auto-generated from the code-read env surface (MCP_TOOL_MODE + package vars) — do not edit.

Additional Deployment Options

hdhomerun-mcp can also run as a local container (Docker / Podman / uv) or be consumed from a remote deployment. The Deployment guide has full, copy-paste mcp_config.json for all four transports — stdio, streamable-http, local container / uv, and remote URL:

  • Local container / uv — launch the server from mcp_config.json via uvx, docker run, or podman run, or point at a local streamable-http container by url.
  • Remote URL — connect to a server deployed behind Caddy at https://hdhomerun-mcp.example.invalid/mcp using the "url" key.

Container images (:mcp vs :agent)

One multi-stage docker/Dockerfile builds two right-sized images, selected by --target:

Image tag Build target Contents Entrypoint
knucklessg1/hdhomerun-mcp:mcp --target mcp hdhomerun-mcp[mcp]slim, no engine/pydantic-ai/dspy/llama-index hdhomerun-mcp
knucklessg1/hdhomerun-mcp:1.1.0 --target agent (default) hdhomerun-mcp[agent]full agent runtime + epistemic-graph engine hdhomerun-agent
docker build --target mcp   -t knucklessg1/hdhomerun-mcp:mcp    docker/   # slim MCP server
docker build --target agent -t knucklessg1/hdhomerun-mcp:1.1.0 docker/   # full agent

Knowledge-graph database (epistemic-graph)

The full agent ([agent] / :1.1.0) embeds the epistemic-graph engine (pulled in via agent-utilities[agent]). For production — or to share one knowledge graph across multiple agents — run epistemic-graph as its own database container and point the agent at it. Deployment recipes (single-node + Raft HA), connection config, and the full database architecture (with diagrams) are in the epistemic-graph deployment guide. The slim [mcp] server does not require the database.

Documentation

Full documentation is published to the GitHub Pages site and mirrored under docs/:

Governed capability contract

This package ships a compact canonical skill surface with specialist procedures kept as referenced workflows. The current MCP tools, skill metadata, connector_manifest.yml, ontology, mappings, shapes, fixtures, migrations, tool-schema fingerprints, and certification metadata form one versioned capability contract. Validate them together; do not rely on stale tool names or historical per-task skill wrappers.

Runtime endpoints, credentials, certificate trust, tenant identity, retention, and observability policy are deployment inputs and are never packaged values. See Configuration, trust, and privacy before enabling a network transport, connector ingestion, GraphOS delegation, or trace export.

from github.com/Knuckles-Team/hdhomerun-mcp

Installing HDHomeRun

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/Knuckles-Team/hdhomerun-mcp

FAQ

Is HDHomeRun MCP free?

Yes, HDHomeRun MCP is free — one-click install via Unyly at no cost.

Does HDHomeRun need an API key?

No, HDHomeRun runs without API keys or environment variables.

Is HDHomeRun hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install HDHomeRun in Claude Desktop, Claude Code or Cursor?

Open HDHomeRun on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

Related MCPs

Compare HDHomeRun with

Not sure what to pick?

Find your stack in 60 seconds

Author?

Embed badge for your README

Browse similar

All development MCPs