Agora 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 Agora as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 Agora. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Agora?"
)
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 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.
LlamaIndex agents combine Agora tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through 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
- 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 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 Agora to LlamaIndex via MCP
Follow these steps to integrate the Agora 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 Agora
Why Use LlamaIndex with the Agora MCP Server
LlamaIndex provides unique advantages when paired with Agora through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Agora tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Agora tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Agora, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Agora tools were called, what data was returned, and how it influenced the final answer
Agora + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Agora MCP Server delivers measurable value.
Hybrid search: combine Agora real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Agora 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 Agora for fresh data
Analytical workflows: chain Agora queries with LlamaIndex's data connectors to build multi-source analytical reports
Agora MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Agora to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Agora to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAgora + LlamaIndex FAQ
Common questions about integrating Agora 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 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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.