Skip to main content
Glama

tdarr-mcp

MCP server for interacting with Tdarr — a distributed transcoding system for video/audio libraries.

Exposes 21 tools for monitoring and controlling Tdarr via the Model Context Protocol.

Tools

Core

Tool

Description

get_status

Get Tdarr server status (version, uptime)

get_workers

List all workers/nodes with status and progress

get_libraries

List all configured libraries

get_library_stats

Get detailed stats for a specific library

scan_library

Trigger a file scan on a library

get_queue

Get queue status (pending, processing, error counts)

pause_worker

Pause a worker by setting its limit to 0

resume_worker

Resume a paused worker

Flow management

Tool

Description

get_flows

List all flows

get_flow

Get a specific flow definition

create_flow

Create a new flow

update_flow

Update an existing flow

delete_flow

Delete a flow

apply_flow_to_library

Apply a flow to a library

Settings & plugins

Tool

Description

get_settings

Get all global settings

update_settings

Update global settings

get_plugins

List all available plugins

get_plugin_details

Get details of a specific plugin

Node management

Tool

Description

get_nodes

Get all nodes with full details (settings, workers, GPU/CPU, version)

update_node_settings

Update settings of a specific node

get_node_logs

Get recent log entries for a node

Configuration

Env var

Default

Description

TDARR_URL

http://192.168.0.1:8265

Tdarr server URL

No authentication required (local network access).

Build & Run

npm install
npm run build
node dist/index.js

Integration — docker-compose (media-manager)

mcpServers:
  tdarr:
    command: node
    args: ["/home/agent/tdarr-mcp/dist/index.js"]
    env:
      TDARR_URL: "http://192.168.0.1:8265"
F
license - not found
-
quality - not tested
C
maintenance

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/maximeallanic/tdarr-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server