AcoustID 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 AcoustID 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 AcoustID. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in AcoustID?"
)
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 AcoustID MCP Server
Connect to AcoustID and identify music from audio fingerprints through natural conversation — no API key needed for basic use.
LlamaIndex agents combine AcoustID 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
- Song Identification — Identify songs from audio fingerprints (like Shazam)
- Recording Search — Search for recordings by name, artist or MusicBrainz ID
- MBID Lookup — Find all AcoustIDs linked to a MusicBrainz recording
- Metadata Lookup — Get full metadata for recordings including artists and release groups
- Fingerprint Submission — Submit new audio fingerprints to expand the database
The AcoustID 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 AcoustID to LlamaIndex via MCP
Follow these steps to integrate the AcoustID 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 AcoustID
Why Use LlamaIndex with the AcoustID MCP Server
LlamaIndex provides unique advantages when paired with AcoustID through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine AcoustID tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain AcoustID tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query AcoustID, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what AcoustID tools were called, what data was returned, and how it influenced the final answer
AcoustID + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the AcoustID MCP Server delivers measurable value.
Hybrid search: combine AcoustID real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query AcoustID 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 AcoustID for fresh data
Analytical workflows: chain AcoustID queries with LlamaIndex's data connectors to build multi-source analytical reports
AcoustID MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect AcoustID to LlamaIndex via MCP:
get_recording_metadata
Returns all associated MusicBrainz recordings, artists, release groups and fingerprints linked to this AcoustID. Get full metadata for a recording by AcoustID
lookup_by_fingerprint
Returns matching recordings from the AcoustID database with song titles, artists, MusicBrainz IDs and match confidence scores. Requires the fingerprint string and audio duration in seconds. Use meta="recordings" for full recording details. Identify a song by audio fingerprint
search_by_mbid
Returns all AcoustID fingerprints linked to that MusicBrainz recording, useful for finding multiple audio fingerprints of the same song. Search for AcoustIDs by MusicBrainz ID
search_by_recording
Returns matching recordings with AcoustID, MusicBrainz ID, title and artist name. Useful for finding the AcoustID of a known song. Search for recordings by name and/or artist
submit_fingerprint
Requires the Chromaprint fingerprint string and audio duration. Optionally include recording name and artist for new songs. Returns the newly created AcoustID. Submit an audio fingerprint to AcoustID
Example Prompts for AcoustID in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with AcoustID immediately.
"Search for 'Bohemian Rhapsody' by Queen."
"Search recordings by Daft Punk."
"Get metadata for AcoustID 0e5e5b5e-."
Troubleshooting AcoustID MCP Server with LlamaIndex
Common issues when connecting AcoustID to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAcoustID + LlamaIndex FAQ
Common questions about integrating AcoustID 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 AcoustID 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 AcoustID to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.