Sonarr (TV) MCP Server for Pydantic AIGive Pydantic AI 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

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Sonarr (TV) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Sonarr (TV) MCP Server for Pydantic AI 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

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Sonarr (TV) "
            "(18 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

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* 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.

Pydantic AI validates every Sonarr (TV) tool response against typed schemas, catching data inconsistencies at build time. Connect 18 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

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) with type-safe schemas

Why Use Pydantic AI with the Sonarr (TV) MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Sonarr (TV) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Sonarr (TV) connection logic from agent behavior for testable, maintainable code

Sonarr (TV) + Pydantic AI Use Cases

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

Type-safe data pipelines: query Sonarr (TV) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Sonarr (TV) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Sonarr (TV) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Sonarr (TV) responses and write comprehensive agent tests

Example Prompts for Sonarr (TV) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Sonarr (TV) + Pydantic AI FAQ

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

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Sonarr (TV) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.