Agora MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Agora through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"agora": {
"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 Agora, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Agora MCP Server
Connect your AI agents to Agora, the leading real-time engagement platform for video, voice, and interactive streaming. This MCP provides 10 tools to manage communication channels, orchestrate cloud recording sessions, and monitor granular usage metrics programmatically.
LangChain's ecosystem of 500+ components combines seamlessly with Agora 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
- Channel Orchestration — Create and manage RTC (Real-Time Communication) channels and list active users within each session
- Cloud Recording — Start, stop, and query the status of cloud recording tasks for archival or auditing purposes
- Usage Monitoring — Retrieve detailed metrics on minutes consumed, bandwidth, and concurrent user peaks
- Project Insights — List and inspect project configurations, including AppIDs and token settings, directly from your agent
- Rule Management — Configure channel-level rules and settings to optimize the interactive experience
The Agora 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 Agora to LangChain via MCP
Follow these steps to integrate the Agora MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Agora via MCP
Why Use LangChain with the Agora MCP Server
LangChain provides unique advantages when paired with Agora through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Agora MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Agora queries for multi-turn workflows
Agora + LangChain Use Cases
Practical scenarios where LangChain combined with the Agora MCP Server delivers measurable value.
RAG with live data: combine Agora tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Agora, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Agora tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Agora tool call, measure latency, and optimize your agent's performance
Agora MCP Tools for LangChain (10)
These 10 tools become available when you connect Agora to LangChain via MCP:
acquire_cloud_recording
Required before starting. Request a resource ID for cloud recording
create_project
Create a new Agora project
get_project_details
Get detailed information for a specific project
get_usage_stats
Query usage data for a specific project
list_active_calls
List ongoing calls and sessions
list_projects
List all Agora projects in your console
list_whiteboard_rooms
List active Interactive Whiteboard rooms
query_cloud_recording
Check the status of an active recording
start_cloud_recording
Start recording a channel to the cloud
stop_cloud_recording
Stop an ongoing cloud recording
Example Prompts for Agora in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Agora immediately.
"List all users currently connected to Agora channel 'room_101' in project 'app_abc'."
"Start a cloud recording for channel 'webinar_live' with AppID 'my_agora_app_id'."
"Show my project's RTC usage for the last 7 days."
Troubleshooting Agora MCP Server with LangChain
Common issues when connecting Agora to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAgora + LangChain FAQ
Common questions about integrating Agora MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Agora 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 Agora to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.