Arr Assistant (Radarr/Sonarr)
This MCP server provides AI assistants with natural language access to Radarr and Sonarr media management systems, built by Justin Malloy using Python with FastMCP and httpx for HTTP communication. The implementation offers six tools for searching movies and TV shows using each service's built-in TMDb/TVDB lookup capabilities, adding content with automatic root folder detection, and monitoring server connectivity status, eliminating the need for external API keys by leveraging the media servers' existing integrations. Designed for home media automation enthusiasts managing self-hosted Plex/Jellyfin setups, users wanting conversational interfaces for adding content to their media libraries, and developers building AI-powered home automation workflows that integrate with the *arr ecosystem for streamlined media acquisition and organization.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/omniwaifu/arr-assistant-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Arr Assistant (Radarr/Sonarr) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.