Webex MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Webex as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 Webex. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Webex?"
)
print(response)
asyncio.run(main())
* 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 Webex MCP Server
Connect your Cisco Webex account to any AI agent and manage your enterprise collaboration through natural conversation.
LlamaIndex agents combine Webex 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
- Space Management — List all Webex rooms (spaces) you belong to and create new collaboration areas with ease
- Meeting Lifecycle — Schedule new video meetings, update existing schedules, or cancel sessions directly from your agent
- Collaboration Insights — Retrieve full details for rooms and meetings, including join URLs, dial-in numbers, and precise timing
- Team Organization — Rename existing spaces or permanently delete obsolete rooms to keep your workspace organized
- Deep Discovery — Quickly find unique room and meeting UUIDs required for automated collaboration workflows
- Real-Time Auditing — Monitor your calendar for upcoming scheduled meetings and verify your participation status
The Webex 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 Webex to LlamaIndex via MCP
Follow these steps to integrate the Webex 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 Webex
Why Use LlamaIndex with the Webex MCP Server
LlamaIndex provides unique advantages when paired with Webex through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Webex tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Webex tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Webex, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Webex tools were called, what data was returned, and how it influenced the final answer
Webex + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Webex MCP Server delivers measurable value.
Hybrid search: combine Webex real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Webex 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 Webex for fresh data
Analytical workflows: chain Webex queries with LlamaIndex's data connectors to build multi-source analytical reports
Webex MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Webex to LlamaIndex via MCP:
create_video_meeting
Provide a title and ISO 8601 start/end timestamps. Schedules a new Webex video meeting
create_webex_room
Provide a descriptive title for the room. Creates a new Webex space
delete_scheduled_meeting
This action is irreversible. Permanently cancels and deletes a scheduled Webex meeting
delete_webex_room
This action is irreversible and removes all history for the room. Permanently deletes a Webex room
get_meeting_details
Retrieves details for a specific Webex meeting
get_room_details
Retrieves details for a specific Webex room
list_scheduled_meetings
Lists scheduled Webex meetings
list_webex_rooms
Lists all Webex rooms (spaces) the authenticated user belongs to
update_meeting_schedule
Provide the meeting ID and the updated fields. Updates the time or title of an existing Webex meeting
update_room_title
Provide the room ID and the new title. Updates the title of an existing Webex room
Example Prompts for Webex in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Webex immediately.
"List all my Webex rooms."
"Schedule a meeting called 'Q1 Strategy' for tomorrow from 10:00 to 11:00 AM."
"What meetings do I have scheduled for today?"
Troubleshooting Webex MCP Server with LlamaIndex
Common issues when connecting Webex to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWebex + LlamaIndex FAQ
Common questions about integrating Webex MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Webex with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Webex to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.