How do I find my TIDAL API Key?

Register at the [**TIDAL Developer portal**](https://developer.tidal.com/), create an application, and you will receive your API Key. Copy and paste it below.

Can the agent show track durations?

Yes. Every track record retrieved by your agent includes metadata on the duration in seconds, which is automatically converted to minutes and seconds.

Does it support high-resolution audio info?

Yes. The TIDAL API provides metadata indicating available audio qualities (e.g., Lossless, High) for albums and tracks.

TIDAL Developer API MCP Server for Pydantic AI 5 tools — connect in under 2 minutes

Name: TIDAL Developer API
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 5 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 TIDAL Developer API "
            "(5 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in TIDAL Developer API?"
    )
    print(result.data)

asyncio.run(main())

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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 TIDAL Developer API MCP Server

Empower your AI agent to orchestrate your entire music research and discography auditing workflow with the TIDAL Developer API, the comprehensive source for high-fidelity audio metadata. By connecting TIDAL to your agent, you transform complex music searches into a natural conversation. Your agent can instantly search for albums, audit artist catalogs, and retrieve track lists without you ever touching a music app. Whether you are conducting industry research or managing local playlist constraints, your agent acts as a real-time musical consultant, ensuring your data is always comprehensive and up-to-the-minute.

Pydantic AI validates every TIDAL Developer API tool response against typed schemas, catching data inconsistencies at build time. Connect 5 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

Album Auditing — Search for thousands of albums by title or artist and retrieve detailed metadata, including track counts and durations.
Artist Oversight — Audit comprehensive artist profiles and discographies to maintain a clear view of musical distribution and scale.
Track Discovery — Query all tracks belonging to specific albums to understand the thematic distribution of music instantly.
Metadata Intelligence — Retrieve high-resolution identifiers and duration markers for any musical record to assist in deep-dive classification.
Operational Monitoring — Check API status to ensure your music research workflow is always operational.

The TIDAL Developer API MCP Server exposes 5 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect TIDAL Developer API to Pydantic AI via MCP

Follow these steps to integrate the TIDAL Developer API MCP Server with Pydantic AI.

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 5 tools from TIDAL Developer API with type-safe schemas

Why Use Pydantic AI with the TIDAL Developer API MCP Server

Pydantic AI provides unique advantages when paired with TIDAL Developer API 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 TIDAL Developer API integration code

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

Dependency injection system cleanly separates your TIDAL Developer API connection logic from agent behavior for testable, maintainable code

TIDAL Developer API + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the TIDAL Developer API MCP Server delivers measurable value.

Type-safe data pipelines: query TIDAL Developer API with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple TIDAL Developer API tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query TIDAL Developer API and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock TIDAL Developer API responses and write comprehensive agent tests

TIDAL Developer API MCP Tools for Pydantic AI (5)

These 5 tools become available when you connect TIDAL Developer API to Pydantic AI via MCP:

check_api_status

Check if the TIDAL Developer service is operational

get_album_tracks

Get all tracks belonging to a specific album by ID

get_artist_albums

Get all albums for a specific artist by ID

search_tidal_albums

Search for albums on TIDAL by name or artist

search_tidal_artists

Search for artists on TIDAL

Example Prompts for TIDAL Developer API in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with TIDAL Developer API immediately.

"Search for album 'Lemonade' by Beyoncé using TIDAL."

"What are the tracks in the album with ID '12345'?"

"Search for artist 'Daft Punk' on TIDAL."

Troubleshooting TIDAL Developer API MCP Server with Pydantic AI

Common issues when connecting TIDAL Developer API to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

TIDAL Developer API + Pydantic AI FAQ

Common questions about integrating TIDAL Developer API 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 TIDAL Developer API MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.