TIDAL Developer API 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 TIDAL Developer API 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 TIDAL Developer API. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in TIDAL Developer API?"
)
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 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.
LlamaIndex agents combine TIDAL Developer API 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
- 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 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 TIDAL Developer API to LlamaIndex via MCP
Follow these steps to integrate the TIDAL Developer API 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 TIDAL Developer API
Why Use LlamaIndex with the TIDAL Developer API MCP Server
LlamaIndex provides unique advantages when paired with TIDAL Developer API through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine TIDAL Developer API tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain TIDAL Developer API tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query TIDAL Developer API, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what TIDAL Developer API tools were called, what data was returned, and how it influenced the final answer
TIDAL Developer API + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the TIDAL Developer API MCP Server delivers measurable value.
Hybrid search: combine TIDAL Developer API real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query TIDAL Developer API 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 TIDAL Developer API for fresh data
Analytical workflows: chain TIDAL Developer API queries with LlamaIndex's data connectors to build multi-source analytical reports
TIDAL Developer API MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect TIDAL Developer API to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting TIDAL Developer API to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTIDAL Developer API + LlamaIndex FAQ
Common questions about integrating TIDAL Developer API 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 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 LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.