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 CrewAI 5 tools — connect in under 2 minutes

Name: TIDAL Developer API
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 5 Tools Framework

Connect your CrewAI agents to TIDAL Developer API through Vinkius, pass the Edge URL in the `mcps` parameter and every TIDAL Developer API tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="TIDAL Developer API Specialist",
    goal="Help users interact with TIDAL Developer API effectively",
    backstory=(
        "You are an expert at leveraging TIDAL Developer API tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in TIDAL Developer API "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 5 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, TIDAL Developer API becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call TIDAL Developer API tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 5 tools from TIDAL Developer API

Why Use CrewAI with the TIDAL Developer API MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with TIDAL Developer API through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

TIDAL Developer API + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries TIDAL Developer API for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries TIDAL Developer API, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain TIDAL Developer API tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries TIDAL Developer API against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

TIDAL Developer API MCP Tools for CrewAI (5)

These 5 tools become available when you connect TIDAL Developer API to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

TIDAL Developer API + CrewAI FAQ

Common questions about integrating TIDAL Developer API MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.