How to Use the Hopin (RingCentral Events) MCP in LlamaIndex
Index live event data in LlamaIndex using the Hopin (RingCentral Events) MCP server for grounded, accurate knowledge retrieval.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Hopin (RingCentral Events) MCP to LlamaIndex
Create your Vinkius account to connect Hopin (RingCentral Events) 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 event sessions in LlamaIndex
Call `list_sessions` to pull raw session data into your vector stores. LlamaIndex then converts these records into a queryable knowledge base that your agents use to ground their responses. This approach ensures your AI always references the actual event schedule instead of hallucinating details. It turns static API responses into dynamic, searchable context.
Query speaker info using LlamaIndex
Retrieve speaker bios with `list_speakers` and embed them directly into your knowledge graph. LlamaIndex indexes these profiles so your agent can answer specific questions about event contributors during live chats. It bridges the gap between your event platform and your RAG application. You get precise answers backed by real-time data from your organization's event dashboard.
Manage event metadata with LlamaIndex
Use `get_event` and `list_events` to build a deep index of your organization's past and present webinars. LlamaIndex processes this metadata to help your users find events based on specific criteria. This makes your entire event catalog discoverable through natural language queries. It removes the need for manual searching through platform dashboards when you need event-specific details.
Set up Hopin (RingCentral Events) 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 Hopin (RingCentral Events) 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 Hopin (RingCentral Events) tools.",
)
response = await agent.run("List recent Hopin (RingCentral Events) data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by RingCentral Events (Hopin). 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.
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Common questions about Hopin (RingCentral Events) MCP in LlamaIndex
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