How to Use the MeetingPulse MCP in LlamaIndex

Turn your historical MeetingPulse sessions into a queryable knowledge base for LlamaIndex.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect MeetingPulse MCP to LlamaIndex

Create your Vinkius account to connect MeetingPulse 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.

GDPR Free for Subscribers

Setup MeetingPulse with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Index your meeting history

Use `list_meetings` to feed session metadata directly into your vector store. LlamaIndex then treats your past events as searchable knowledge. You avoid hallucinations by grounding answers in actual API results. Every query returns data pulled directly from your account records.

Semantic search for polls

Call `get_poll_details` to extract specific audience feedback and index the results. You can query your knowledge base for specific trends across months of data. The system maps poll outcomes to your vector index. It provides a way to find specific meeting insights without scanning logs manually.

Unified knowledge retrieval

Combine `get_meeting` data with your internal documents to create a single source of truth. Your agent searches across both static files and live meeting records. You build an index that understands the context of every event. It bridges the gap between your archived data and your current projects.

Setup guide

Set up MeetingPulse MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to 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 MeetingPulse MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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 MeetingPulse tools.",
)
response = await agent.run("List recent MeetingPulse data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MeetingPulse. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect MeetingPulse now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about MeetingPulse MCP in LlamaIndex

Use the MCP tool spec to convert server functions into a format your indexer understands. This allows for direct ingestion of meeting metadata.

No. You fetch the data once to build your index, and then you can query it locally. Refresh the index as needed when new meetings occur.

Absolutely. By indexing the output of poll tools, you make your engagement metrics queryable via natural language.

Your data is stored within your own vector database instance. We provide the tools to get the data, but you control the storage.

The data is converted into vector embeddings. No raw PII is exposed to the model unless you explicitly include it in your query context.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

Start using the MeetingPulse MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started