Compatible with every major AI agent and IDE
What is the Prowlarr (Indexers) MCP Server?
Connect your Prowlarr instance to any AI agent and take full control of your indexer management through natural conversation. This server allows you to orchestrate your Usenet and Torrent indexers without leaving your workspace.
What you can do
- Indexer Overview — List all configured indexers and retrieve detailed configurations for specific ones using their IDs.
- Health Monitoring — Instantly check the health status of all indexers to identify connection issues or failures.
- Configuration Management — Add new indexers, update existing settings, or remove indexers that are no longer needed.
- Schema Discovery — Fetch templates and required fields for various indexer types (Newznab, Torznab, etc.) to ensure correct setup.
- Pre-save Testing — Test indexer configurations before saving them to ensure credentials and URLs are valid.
How it works
- Subscribe to this server
- Enter your Prowlarr URL and API Key
- Start managing your indexers from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Home Lab Enthusiasts — Monitor and maintain your media automation stack without opening multiple web interfaces.
- Media Server Admins — Quickly troubleshoot indexer failures and update API keys or URLs on the fly.
- DevOps Engineers — Automate the provisioning and testing of indexer configurations via AI-driven workflows.
Built-in capabilities (8)
Use get_indexer_schema to find the correct fields. Add a new indexer
Delete an indexer
Get details of a specific indexer
Get templates for all supported indexers
Get indexer health status
List all configured indexers
Test an indexer configuration
Update an existing indexer
Why LlamaIndex?
LlamaIndex agents combine Prowlarr (Indexers) tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Prowlarr (Indexers) tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Prowlarr (Indexers) tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Prowlarr (Indexers), a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Prowlarr (Indexers) tools were called, what data was returned, and how it influenced the final answer
Prowlarr (Indexers) in LlamaIndex
Prowlarr (Indexers) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Prowlarr (Indexers) to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Prowlarr (Indexers) in LlamaIndex
The Prowlarr (Indexers) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 8 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Prowlarr (Indexers) for LlamaIndex
Every tool call from LlamaIndex to the Prowlarr (Indexers) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I check if any of my indexers are currently down?
You can use the get_indexer_status tool. It retrieves the current health status of all configured indexers, highlighting any errors or connection issues.
What is the best way to add a new indexer without knowing the JSON structure?
First, run get_indexer_schema to see the templates for supported indexers. Once you have the correct fields, you can use add_indexer with the required data.
Can I verify my settings before applying them to an indexer?
Yes! Use the test_indexer tool. It allows you to test the connection and configuration of an indexer before saving it, preventing broken setups.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Prowlarr (Indexers) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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