TIDAL Developer API MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect TIDAL Developer API through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="TIDAL Developer API Assistant",
instructions=(
"You help users interact with TIDAL Developer API. "
"You have access to 5 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from TIDAL Developer API"
)
print(result.final_output)
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 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.
The OpenAI Agents SDK auto-discovers all 5 tools from TIDAL Developer API through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries TIDAL Developer API, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the TIDAL Developer API MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 5 tools from TIDAL Developer API
Why Use OpenAI Agents SDK with the TIDAL Developer API MCP Server
OpenAI Agents SDK provides unique advantages when paired with TIDAL Developer API through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
TIDAL Developer API + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the TIDAL Developer API MCP Server delivers measurable value.
Automated workflows: build agents that query TIDAL Developer API, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries TIDAL Developer API, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through TIDAL Developer API tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query TIDAL Developer API to resolve tickets, look up records, and update statuses without human intervention
TIDAL Developer API MCP Tools for OpenAI Agents SDK (5)
These 5 tools become available when you connect TIDAL Developer API to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting TIDAL Developer API to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
TIDAL Developer API + OpenAI Agents SDK FAQ
Common questions about integrating TIDAL Developer API MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect TIDAL Developer API 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 TIDAL Developer API to OpenAI Agents SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.