Can I get the join link for my next meeting through the agent?

Yes. The `get_meeting_details` tool allows your AI agent to retrieve the full configuration for any specific meeting ID, including the direct join URL and current status, so you can join instantly.

How do I schedule a new meeting using chat?

You can use the `create_meeting` tool. Simply provide the host's user ID (or 'me'), a topic, and the duration in minutes. Your agent will schedule the meeting and return the join details immediately.

Is it possible to see all my scheduled webinars via conversation?

Absolutely. Use the `list_webinars` tool and specify the user ID. Your agent will retrieve a list of all future webinars configured for that account, helping you monitor your event schedule through chat.

Zoom MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Zoom
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Zoom as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Zoom. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Zoom?"
    )
    print(response)

asyncio.run(main())

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* 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 Zoom MCP Server

Connect your Zoom account to any AI agent and manage your video communication infrastructure through natural conversation.

LlamaIndex agents combine Zoom tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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

Meeting Lifecycle — Schedule new video meetings, retrieve full details (including join URLs), update topics, or cancel sessions directly from your agent
Webinar Management — List all scheduled webinars, create new sessions, and retrieve deep metadata for attendee coordination
User discovery — Browse and list all users in your Zoom account, and retrieve comprehensive profile details for specific team members
Deep Meeting Audit — Retrieve real-time meeting statuses and join configurations to facilitate instant collaboration
Team Coordination — Lookup host IDs and verify scheduled sessions across multiple users within your organization
Data Integrity — Safely delete obsolete or cancelled meetings through simple chat commands to keep your calendar clean
Connectivity Health — Verify your Zoom account configurations and available meeting features through automated metadata retrieval

The Zoom MCP Server exposes 10 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 Zoom to LlamaIndex via MCP

Follow these steps to integrate the Zoom 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 10 tools from Zoom

Why Use LlamaIndex with the Zoom MCP Server

LlamaIndex provides unique advantages when paired with Zoom through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Zoom tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Zoom tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Zoom, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Zoom tools were called, what data was returned, and how it influenced the final answer

Zoom + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Zoom MCP Server delivers measurable value.

Hybrid search: combine Zoom real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Zoom 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 Zoom for fresh data

Analytical workflows: chain Zoom queries with LlamaIndex's data connectors to build multi-source analytical reports

Zoom MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Zoom to LlamaIndex via MCP:

create_meeting

Create a video meeting

create_webinar

Create a new webinar

delete_meeting

Delete a meeting

get_meeting

Get meeting details

get_user

Get user configuration

get_webinar

Get webinar details

list_meetings

List scheduled meetings

list_users

List Zoom users

list_webinars

List scheduled webinars

update_meeting

Update meeting topic

Example Prompts for Zoom in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Zoom immediately.

"List all my Zoom meetings for today."

"Schedule a meeting called 'Design Review' for 45 minutes."

"Show me the details for user 'me'."

Troubleshooting Zoom MCP Server with LlamaIndex

Common issues when connecting Zoom to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Zoom + LlamaIndex FAQ

Common questions about integrating Zoom MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.