How to Use the EventMobi Experience MCP in LlamaIndex
Index live event schedules and exhibitor profiles into LlamaIndex to build queryable event knowledge bases.
Works with every AI agent you already use
…and any MCP-compatible client
Connect EventMobi Experience MCP to LlamaIndex
Create your Vinkius account to connect EventMobi Experience to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Index EventMobi Experience Schedules
The `list_event_sessions` tool pulls the entire schedule for a specific event into your LlamaIndex workflow. Your RAG application ingests these timeslots, descriptions, and room assignments directly into a vector store. Users can then ask semantic questions like "What time are the marketing keynotes?" Your application searches the indexed data and returns answers grounded in the actual, live agenda instead of hallucinating.
Build RAG with Exhibitor Data
Calling `list_event_exhibitor_profiles` extracts company names, booth locations, and descriptions. You load this raw API data into your query engine alongside static PDF floor plans or sponsor contracts. This setup turns a standard chat interface into an intelligent event directory. When an attendee searches for a specific software vendor, the engine retrieves the exact profile pulled by the MCP server.
Ground Answers in Event Metadata
Your agent relies on `get_event_detailed_data` to understand the foundational settings of any event. It grabs the exact dates, locations, and timezone rules before answering user queries. Combining this with `list_event_speakers` ensures your knowledge base always reflects the latest roster changes. If a speaker cancels, LlamaIndex updates the vector store, keeping the semantic search perfectly accurate.
Set up EventMobi Experience MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all EventMobi Experience MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to EventMobi Experience tools.",
)
response = await agent.run("List recent EventMobi Experience data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EventMobi Experience. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
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60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
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Common questions about EventMobi Experience MCP in LlamaIndex
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