How to Use the Prowlarr (Indexers) MCP in Google ADK
Connect your Prowlarr instance to the Google ADK and let Gemini manage your trackers at scale.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Prowlarr (Indexers) MCP to Google ADK
Create your Vinkius account to connect Prowlarr (Indexers) to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Massive context analysis via MCP Server
The `prowlarr-indexers-mcp` MCP Server gives Gemini direct read and write access to your media indexers. You wrap the endpoint URL in `McpToolset` and pass it directly to your `LlmAgent` initialization. Because Gemini handles massive context windows, you can dump the entire output of `list_indexers` and `get_indexer_status` into a single prompt. The agent analyzes the health of hundreds of trackers simultaneously without chunking the data.
BigQuery integration for tracker imports
Adding massive lists of trackers requires strict validation. The agent pulls the configuration templates using `get_indexer_schema`, maps your existing BigQuery tracker database to those templates, and pushes them via `add_indexer`. After the bulk import, the agent triggers `test_indexer` against every new entry. You can pipe those test results straight back into Vertex AI to build historical reliability models for your Usenet providers.
Automated tracker lifecycle management
Maintaining tracker health means knowing when to modify and when to purge. The agent reads specific configuration details via `get_indexer` to check for outdated domain names. If a domain is dead, the agent fires `update_indexer` with the new URL. If a tracker permanently shuts down, it executes `delete_indexer` to remove the dead weight, keeping your search queries fast and your Prowlarr database clean.
Set up Prowlarr (Indexers) MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with Prowlarr (Indexers) tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="Prowlarr (Indexers)_agent",
model="gemini-2.0-flash",
instruction="You have access to Prowlarr (Indexers) tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Prowlarr. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Prowlarr (Indexers) MCP in Google ADK
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