AudD Music Recognition MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect AudD Music Recognition through 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="AudD Music Recognition Assistant",
instructions=(
"You help users interact with AudD Music Recognition. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from AudD Music Recognition"
)
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 AudD Music Recognition MCP Server
Equip your AI agent with the power of AudD, the leading music recognition and data platform. This integration allows your agent to identify songs from audio URLs, search for track information by title or artist, and retrieve full lyrics or snippets. Your agent can also find direct streaming links for identified tracks on platforms like Spotify and Apple Music. Whether you are identifying a background track from a video or searching for that one song with a specific lyric, your agent acts as a dedicated musicologist through natural conversation.
The OpenAI Agents SDK auto-discovers all 8 tools from AudD Music Recognition through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries AudD Music Recognition, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Music Recognition — Identify songs from publicly accessible audio URLs with high precision.
- Lyrics Search — Find full lyrics or search for songs using fragments of text.
- Metadata Retrieval — Fetch detailed track, artist, and album information including release dates and labels.
- Streaming Links — Get direct URLs to listen to identified tracks on major music platforms.
- Timecode Identification — Start recognition from a specific offset to identify songs in long audio files.
The AudD Music Recognition MCP Server exposes 8 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 AudD Music Recognition to OpenAI Agents SDK via MCP
Follow these steps to integrate the AudD Music Recognition 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 8 tools from AudD Music Recognition
Why Use OpenAI Agents SDK with the AudD Music Recognition MCP Server
OpenAI Agents SDK provides unique advantages when paired with AudD Music Recognition 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
AudD Music Recognition + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the AudD Music Recognition MCP Server delivers measurable value.
Automated workflows: build agents that query AudD Music Recognition, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries AudD Music Recognition, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through AudD Music Recognition tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query AudD Music Recognition to resolve tickets, look up records, and update statuses without human intervention
AudD Music Recognition MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect AudD Music Recognition to OpenAI Agents SDK via MCP:
add_monitored_stream
Add an audio stream to monitor for music
get_lyrics
Get full lyrics for a specific track
list_monitored_streams
List all monitored audio streams
recognize_at_time
Useful for long files. Recognize music starting at a specific offset
recognize_music
Returns artist, title, album, and streaming links (Apple Music, Spotify, etc.). Recognize a song from an audio URL
search_lyrics
Returns matched lyrics and song metadata. Search for song lyrics by text fragment
search_music
Search for a song by text query
set_stream_callback_url
Set the webhook URL for stream monitoring results
Example Prompts for AudD Music Recognition in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with AudD Music Recognition immediately.
"Identify the song at this URL: https://example.com/audio.mp3"
"Search for lyrics containing 'never gonna give you up'."
"Find the artist and album for the song 'Stairway to Heaven'."
Troubleshooting AudD Music Recognition MCP Server with OpenAI Agents SDK
Common issues when connecting AudD Music Recognition to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
AudD Music Recognition + OpenAI Agents SDK FAQ
Common questions about integrating AudD Music Recognition 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 AudD Music Recognition 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.
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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 AudD Music Recognition to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.