MCP server exposing autobrr's full API as tools, enabling LLMs to read and manage filters, indexers, feeds, clients, actions, releases, and system config. It wraps approximately 104 endpoints into 13 resource-scoped tools for comprehensive autobrr instance management.
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SavageCore
Source: Glama
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AUTOBRR_URLenv =https://autobrr.example.com \AUTOBRR_API_KEYenv =<key> \Shell command execution
1 child_process/subprocess call in production code — runs shell commands (autobrr_mcp.py:1191)
Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.
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