Deezer MCP Server for Pydantic AI 14 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Deezer through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Deezer "
"(14 tools)."
),
)
result = await agent.run(
"What tools are available in Deezer?"
)
print(result.data)
asyncio.run(main())
* 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.
Pydantic AI validates every Deezer tool response against typed schemas, catching data inconsistencies at build time. Connect 14 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
- 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 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 Deezer to Pydantic AI via MCP
Follow these steps to integrate the Deezer 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 14 tools from Deezer with type-safe schemas
Why Use Pydantic AI with the Deezer MCP Server
Pydantic AI provides unique advantages when paired with Deezer 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 Deezer integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Deezer connection logic from agent behavior for testable, maintainable code
Deezer + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Deezer MCP Server delivers measurable value.
Type-safe data pipelines: query Deezer with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Deezer tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Deezer and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Deezer responses and write comprehensive agent tests
Deezer MCP Tools for Pydantic AI (14)
These 14 tools become available when you connect Deezer to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Deezer to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiDeezer + Pydantic AI FAQ
Common questions about integrating Deezer MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Deezer with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Deezer to Pydantic AI
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.