Bandsintown MCP Server for LlamaIndex 7 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Bandsintown as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Bandsintown. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Bandsintown?"
)
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 Bandsintown MCP Server
Connect to Bandsintown and discover live music events worldwide through natural conversation — no API key needed.
LlamaIndex agents combine Bandsintown tool responses with indexed documents for comprehensive, grounded answers. Connect 7 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
- Artist Info — Get artist profiles with follower counts, images and social links
- Artist Events — Browse all upcoming and past tour dates for any artist
- Recommended Events — Discover concerts near your city or coordinates
- Venue Events — See what shows are coming up at any venue
- Date Filtering — Filter events by upcoming, past, or specific date ranges
The Bandsintown MCP Server exposes 7 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 Bandsintown to LlamaIndex via MCP
Follow these steps to integrate the Bandsintown 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 7 tools from Bandsintown
Why Use LlamaIndex with the Bandsintown MCP Server
LlamaIndex provides unique advantages when paired with Bandsintown through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Bandsintown tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Bandsintown tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Bandsintown, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Bandsintown tools were called, what data was returned, and how it influenced the final answer
Bandsintown + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Bandsintown MCP Server delivers measurable value.
Hybrid search: combine Bandsintown real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Bandsintown 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 Bandsintown for fresh data
Analytical workflows: chain Bandsintown queries with LlamaIndex's data connectors to build multi-source analytical reports
Bandsintown MCP Tools for LlamaIndex (7)
These 7 tools become available when you connect Bandsintown to LlamaIndex via MCP:
get_artist
Get info for a specific artist
get_artist_by_facebook_id
Get artist info by Facebook page ID
get_artist_by_id
Get artist info by Bandsintown ID
get_artist_events
Use date parameter to filter: "upcoming", "past", "all" or a date range "YYYY-MM-DD,YYYY-MM-DD". Get upcoming and past events for an artist
get_artist_events_by_id
Same as get_artist_events but uses numeric ID instead of name. Get events for an artist by Bandsintown ID
get_recommended_events
Filter by city name or latitude/longitude coordinates with radius. Returns event details with artist, venue, date, time and ticket links. Get recommended events by location
get_venue_events
Returns event details with artists, dates, times and ticket links. Get upcoming events at a specific venue
Example Prompts for Bandsintown in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Bandsintown immediately.
"What concerts are coming up for Taylor Swift?"
"Find recommended concerts in New York."
"What shows are happening at Red Rocks Amphitheatre?"
Troubleshooting Bandsintown MCP Server with LlamaIndex
Common issues when connecting Bandsintown to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBandsintown + LlamaIndex FAQ
Common questions about integrating Bandsintown 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 Bandsintown 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 Bandsintown to LlamaIndex
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.