AcoustID MCP Server for LangChain 5 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect AcoustID through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"acoustid": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using AcoustID, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with AcoustID through native MCP adapters. Connect 5 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the AcoustID MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 5 tools from AcoustID via MCP
Why Use LangChain with the AcoustID MCP Server
LangChain provides unique advantages when paired with AcoustID through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine AcoustID MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across AcoustID queries for multi-turn workflows
AcoustID + LangChain Use Cases
Practical scenarios where LangChain combined with the AcoustID MCP Server delivers measurable value.
RAG with live data: combine AcoustID tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query AcoustID, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain AcoustID tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every AcoustID tool call, measure latency, and optimize your agent's performance
AcoustID MCP Tools for LangChain (5)
These 5 tools become available when you connect AcoustID to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting AcoustID to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAcoustID + LangChain FAQ
Common questions about integrating AcoustID MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.