Do I need a Deezer account or API key to use this?

No! The Deezer public API is open for reading without authentication. You can search tracks, artists, albums, playlists, and charts immediately.

Can I listen to song previews?

Yes! Every track returned by the search includes a 30-second preview URL that you can play directly in your browser.

Can I get charts for a specific country?

Yes! Use the `get_chart` tool with a country code (e.g., US, BR, FR, DE) to get the top tracks, albums, artists, and playlists for that region.

Deezer MCP Server for CrewAI 14 tools — connect in under 2 minutes

Name: Deezer
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 14 Tools Framework

Connect your CrewAI agents to Deezer through Vinkius, pass the Edge URL in the `mcps` parameter and every Deezer 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="Deezer Specialist",
    goal="Help users interact with Deezer effectively",
    backstory=(
        "You are an expert at leveraging Deezer 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 Deezer "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 14 available tools "
        "and what they can do."
    ),
)

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

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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 Deezer MCP Server

Connect Deezer music catalog to any AI agent and search millions of tracks, discover artists, explore albums and playlists, and check global charts through natural language.

When paired with CrewAI, Deezer becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Deezer 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

Track Search — Search millions of tracks by title, lyrics, or keywords with preview links
Artist Discovery — Find artists, view fan counts, and get their top tracks and radio stations
Album Browsing — Look up albums by title or artist with release dates and track listings
Playlist Exploration — Search public playlists by mood, genre, or curator
Charts — Check top tracks, albums, artists, and playlists globally or by country
Genre Navigation — Browse music genres and find curated playlists per genre

The Deezer MCP Server exposes 14 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 Deezer to CrewAI via MCP

Follow these steps to integrate the Deezer 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 14 tools from Deezer

Why Use CrewAI with the Deezer MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Deezer 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

Deezer + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Deezer MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Deezer 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 Deezer, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Deezer 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 Deezer against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Deezer MCP Tools for CrewAI (14)

These 14 tools become available when you connect Deezer to CrewAI via MCP:

get_album

Get detailed album information

get_album_tracks

Get tracks from an album

get_artist

Get detailed artist information

get_artist_radio

Get artist radio tracks

get_artist_top_tracks

Get top tracks for an artist

get_chart

Optionally filter by country using ISO 3166-1 country code. Get Deezer charts

get_genre

Get genre information

get_genre_playlists

Get playlists for a genre

get_playlist

Get detailed playlist information

get_track

Get detailed track information

search_albums

Returns albums with release date, track count, and cover art info. Search for albums on Deezer

search_artists

Returns artist info including fan count, album count, and profile links. Search for artists on Deezer

search_playlists

Returns playlist info including creator, track count, and fan count. Search for playlists on Deezer

search_tracks

Returns tracks with title, artist, album, duration, and preview link. Supports pagination with limit and offset index. Search for tracks on Deezer

Example Prompts for Deezer in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Deezer immediately.

"Search for songs by Daft Punk."

"What's trending in Brazil right now?"

"Find me chill playlists for studying."

Troubleshooting Deezer MCP Server with CrewAI

Common issues when connecting Deezer 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.

Deezer + CrewAI FAQ

Common questions about integrating Deezer 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.