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Webex MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Webex through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "webex": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Webex, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Webex
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Webex through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Webex MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Webex via MCP

Why Use LangChain with the Webex MCP Server

LangChain provides unique advantages when paired with Webex through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Webex MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Webex queries for multi-turn workflows

Webex + LangChain Use Cases

Practical scenarios where LangChain combined with the Webex MCP Server delivers measurable value.

01

RAG with live data: combine Webex tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Webex, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Webex tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Webex tool call, measure latency, and optimize your agent's performance

Webex MCP Tools for LangChain (10)

These 10 tools become available when you connect Webex to LangChain via MCP:

01

create_video_meeting

Provide a title and ISO 8601 start/end timestamps. Schedules a new Webex video meeting

02

create_webex_room

Provide a descriptive title for the room. Creates a new Webex space

03

delete_scheduled_meeting

This action is irreversible. Permanently cancels and deletes a scheduled Webex meeting

04

delete_webex_room

This action is irreversible and removes all history for the room. Permanently deletes a Webex room

05

get_meeting_details

Retrieves details for a specific Webex meeting

06

get_room_details

Retrieves details for a specific Webex room

07

list_scheduled_meetings

Lists scheduled Webex meetings

08

list_webex_rooms

Lists all Webex rooms (spaces) the authenticated user belongs to

09

update_meeting_schedule

Provide the meeting ID and the updated fields. Updates the time or title of an existing Webex meeting

10

update_room_title

Provide the room ID and the new title. Updates the title of an existing Webex room

Example Prompts for Webex in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Webex immediately.

01

"List all my Webex rooms."

02

"Schedule a meeting called 'Q1 Strategy' for tomorrow from 10:00 to 11:00 AM."

03

"What meetings do I have scheduled for today?"

Troubleshooting Webex MCP Server with LangChain

Common issues when connecting Webex to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Webex + LangChain FAQ

Common questions about integrating Webex MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Webex to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.