How to Use the HeySummit MCP in LlamaIndex
Index your live summit data into LlamaIndex to create a knowledge base grounded in HeySummit facts.
Works with every AI agent you already use
…and any MCP-compatible client
Connect HeySummit MCP to LlamaIndex
Create your Vinkius account to connect HeySummit 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.
Semantic Search for Events
Index the output of `list_talks` and `list_speakers` directly into your vector store. Your agent no longer guesses; it queries the index to find exact talk times or speaker bios. This provides a grounded foundation for your RAG application. You get precise answers based on the actual summit configuration stored in HeySummit.
Real-time Attendee Insights
Query your live attendee data by using `list_attendees` to feed your knowledge index. Your agent can answer questions about registration counts or specific attendee records without hallucinating. This creates a searchable history of your summit registrations. You can perform complex queries against your attendee database using natural language.
Knowledge-Augmented Scheduling
Combine `get_event` data with internal documents to build a comprehensive view of your summit. LlamaIndex stores these API results as searchable context for your agent. Your agent uses this combined knowledge to resolve conflicts between speaker availability and talk slots. It ensures your event planning remains accurate and data-driven.
Set up HeySummit 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 HeySummit 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 HeySummit tools.",
)
response = await agent.run("List recent HeySummit data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HeySummit. 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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Common questions about HeySummit MCP in LlamaIndex
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