ACRCloud Music Recognition MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ACRCloud Music Recognition as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to ACRCloud Music Recognition. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in ACRCloud Music Recognition?"
)
print(response)
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 ACRCloud Music Recognition MCP Server
Connect your AI agent to ACRCloud, the world-leading automatic content recognition (ACR) service. This integration allows you to identify music from audio samples and explore a massive database of tracks, artists, and albums with rich metadata and streaming links.
LlamaIndex agents combine ACRCloud Music Recognition tool responses with indexed documents for comprehensive, grounded answers. Connect 5 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Music Identification — Send an audio file URL to instantly identify the song, artist, and album using advanced fingerprinting
- Deep Metadata Search — Query the global music database for tracks, albums, and artists using text or codes (ISRC)
- Streaming Links — Automatically retrieve IDs and direct links for Spotify, YouTube, and other major platforms
- Professional Analytics — Get confidence scores and release details for identified audio content
The ACRCloud Music Recognition MCP Server exposes 5 tools through the Vinkius. Connect it to LlamaIndex 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 ACRCloud Music Recognition to LlamaIndex via MCP
Follow these steps to integrate the ACRCloud Music Recognition MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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 5 tools from ACRCloud Music Recognition
Why Use LlamaIndex with the ACRCloud Music Recognition MCP Server
LlamaIndex provides unique advantages when paired with ACRCloud Music Recognition through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ACRCloud Music Recognition tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ACRCloud Music Recognition tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ACRCloud Music Recognition, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ACRCloud Music Recognition tools were called, what data was returned, and how it influenced the final answer
ACRCloud Music Recognition + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ACRCloud Music Recognition MCP Server delivers measurable value.
Hybrid search: combine ACRCloud Music Recognition real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ACRCloud Music Recognition to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying ACRCloud Music Recognition for fresh data
Analytical workflows: chain ACRCloud Music Recognition queries with LlamaIndex's data connectors to build multi-source analytical reports
ACRCloud Music Recognition MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect ACRCloud Music Recognition to LlamaIndex via MCP:
get_track_by_isrc
Retrieve detailed metadata for a track using its ISRC code
identify_music_from_url
Identify a song from an audio file URL (e.g., mp3, wav)
search_albums
Search for music albums by title or artist
search_artists
Search for music artists by name
search_tracks
Search for music tracks by name, artist, or lyric fragments
Example Prompts for ACRCloud Music Recognition in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with ACRCloud Music Recognition immediately.
"Identify this song: https://example.com/sample.mp3"
"Search for tracks by 'Daft Punk'."
"Get the Spotify link for the song with ISRC USAT20500447."
Troubleshooting ACRCloud Music Recognition MCP Server with LlamaIndex
Common issues when connecting ACRCloud Music Recognition to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpACRCloud Music Recognition + LlamaIndex FAQ
Common questions about integrating ACRCloud Music Recognition MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect ACRCloud 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.
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 ACRCloud Music Recognition to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.