Sonarr (TV) MCP Server for LlamaIndexGive LlamaIndex instant access to 18 tools to Add Series, Delete Episode File, Delete Queue Item, and more

Name: Sonarr (TV)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Sonarr (TV) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this MCP Server for LlamaIndex

Open in ChatGPT Open in Claude Open in Perplexity

The Sonarr (TV) MCP Server for LlamaIndex is a standout in the Productivity category — giving your AI agent 18 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Sonarr (TV). "
            "You have 18 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Sonarr (TV)?"
    )
    print(response)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About Sonarr (TV) MCP Server

Connect your Sonarr instance to any AI agent to take full control of your TV media library through natural conversation.

LlamaIndex agents combine Sonarr (TV) tool responses with indexed documents for comprehensive, grounded answers. Connect 18 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.

What you can do

Library Management — List all series, add new shows via TVDB ID, and update monitoring status or quality profiles.
Episode Tracking — Fetch details for specific episodes, list all episodes in a series, and manage their monitored state.
File Control — List and delete physical episode files directly from your storage to manage disk space.
Activity Monitoring — Access download history and current queue status to see what's downloading or stalled.
System Health — Check Sonarr's connectivity, system status, and internal health metrics to ensure smooth operation.

The Sonarr (TV) MCP Server exposes 18 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 18 Sonarr (TV) tools available for LlamaIndex

When LlamaIndex connects to Sonarr (TV) through Vinkius, your AI agent gets direct access to every tool listed below — spanning media-management, pvr, automation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add series on Sonarr (TV)

Adds a new series to the library

delete

Delete episode file on Sonarr (TV)

Deletes an episode file from disk

delete

Delete queue item on Sonarr (TV)

Removes an item from the queue

delete

Delete series on Sonarr (TV)

Removes a series from the library

get

Get episode on Sonarr (TV)

Returns a specific episode by its ID

get

Get episode file on Sonarr (TV)

Returns a specific episode file

get

Get health on Sonarr (TV)

Returns any health check warnings or errors

get

Get history on Sonarr (TV)

Access the history of grabbed and imported episodes

get

Get queue on Sonarr (TV)

Returns all items in the download queue

get

Get series on Sonarr (TV)

Returns a specific series by its ID

get

Get system status on Sonarr (TV)

Returns system information (version, OS, paths)

list

List commands on Sonarr (TV)

Returns all currently running commands

list

List episode files on Sonarr (TV)

Returns all episode files for a series

list

List episodes on Sonarr (TV)

Returns all episodes for a specific series

list

List series on Sonarr (TV)

Returns all series in the library

start

Start command on Sonarr (TV)

g., SeriesSearch, RescanSeries, RefreshSeries). Starts a new command

update

Update episode on Sonarr (TV)

Updates an episode (e.g., marking it as monitored)

update

Update series on Sonarr (TV)

Updates an existing series

Connect Sonarr (TV) to LlamaIndex via MCP

Follow these steps to wire Sonarr (TV) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 18 tools from Sonarr (TV)

Why Use LlamaIndex with the Sonarr (TV) MCP Server

LlamaIndex provides unique advantages when paired with Sonarr (TV) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Sonarr (TV) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Sonarr (TV) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Sonarr (TV), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Sonarr (TV) tools were called, what data was returned, and how it influenced the final answer

Sonarr (TV) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Sonarr (TV) MCP Server delivers measurable value.

Hybrid search: combine Sonarr (TV) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Sonarr (TV) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Sonarr (TV) for fresh data

Analytical workflows: chain Sonarr (TV) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Sonarr (TV) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Sonarr (TV) immediately.

"List all TV series in my Sonarr library."

"Check the current download queue and history."

"Get details for episode ID 1542."

Troubleshooting Sonarr (TV) MCP Server with LlamaIndex

Common issues when connecting Sonarr (TV) to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Sonarr (TV) + LlamaIndex FAQ

Common questions about integrating Sonarr (TV) MCP Server with LlamaIndex.

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 Sonarr (TV) 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.

Explore More MCP Servers

View all →

Chargeblast

8 tools

Manage chargeback prevention and dispute alerts via Chargeblast — intercept disputes, automate refunds, and audit deflection logs directly from any AI agent.