How to Use the Agora MCP in AutoGen

Q: How do I expose Agora tools to my AutoGen agents?

Install autogen-extmcp and configure the StreamableHttpServerParams with your Vinkius MCP endpoint. Pass the tools directly to your AssistantAgent constructor to let them use the API.

Q: Can AutoGen agents coordinate Agora recording tasks?

Yes, one agent runs acquirecloudrecording while another executes startcloudrecording. They communicate via JSON messages to hand off the required resource IDs.

Q: Can I manage whiteboard rooms using AutoGen?

Yes, your agents call listwhiteboardrooms to monitor active collaborative spaces. They then coordinate with other agents to archive inactive whiteboard sessions.

Deploy AutoGen agents that debate, verify, and execute Agora cloud recordings and project configurations.

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Connect Agora MCP to AutoGen

Create your Vinkius account to connect Agora to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Agora with AutoGen

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Let AutoGen agents coordinate Agora cloud recordings

`acquire_cloud_recording` gets the initial resource token, which a coordinator agent then passes to a recording agent. The recording agent calls `start_cloud_recording` only after a security agent verifies the channel name. This multi-agent setup prevents accidental recordings. The agents use `query_cloud_recording` to monitor the stream, debating whether to call `stop_cloud_recording` based on active user counts.

Multi-agent consensus for Agora project creation

`create_project` initializes a new Agora application environment when triggered by your development agent. A separate finance agent then calls `get_usage_stats` to verify the budget before approving the project activation. Instead of running blind API calls, your agents discuss the necessity of the project. This consensus-driven approach ensures you never spin up duplicate Agora environments or waste resources.

Secure Agora session monitoring with AutoGen MCP Server

`list_active_calls` scans your video channels to detect active streams and participant counts. A monitoring agent analyzes this list and alerts an admin agent if an unauthorized user joins. The agents negotiate the correct response, such as pulling details via `get_project_details`. This turns simple API monitoring into a collaborative security operation.

Setup guide

Set up Agora MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Agora tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Agora_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Agora data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Agora_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Agora data")
    print(result.messages[-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Agora. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Agora MCP in AutoGen

Install autogen-ext[mcp] and configure the StreamableHttpServerParams with your Vinkius MCP endpoint. Pass the tools directly to your AssistantAgent constructor to let them use the API.

Yes, one agent runs acquire_cloud_recording while another executes start_cloud_recording. They communicate via JSON messages to hand off the required resource IDs.

Yes, the McpToolAdapter automatically translates the Agora tool schemas into format-compliant definitions for AutoGen. Your agents can read and execute the tools without manual schema mapping.

Yes, your agents call list_whiteboard_rooms to monitor active collaborative spaces. They then coordinate with other agents to archive inactive whiteboard sessions.

Vinkius isolates all MCP Server execution within a sandboxed V8 environment. Your project details, active call lists, and authentication tokens are never stored or exposed to external networks.

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