How to Use the Daily.co MCP in AutoGen
Let your AutoGen multi-agent teams coordinate, spin up, and manage Daily.co video sessions through collaborative debate.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Daily.co MCP to AutoGen
Create your Vinkius account to connect Daily.co 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.
Multi-agent debate coordinates phone number acquisition
The `list_available_numbers` tool lets your procurement agent search for available phone lines based on regional codes. Once found, a separate finance agent evaluates the cost before executing `buy_phone_number` to secure the line. This collaborative workflow prevents accidental purchases. The agents debate the necessity of the number, check existing inventory via `list_purchased_numbers`, and only execute the purchase when they reach a consensus.
AutoGen agents manage live broadcast layouts collaboratively
The `start_live_streaming` tool allows your broadcast agent to initiate RTMP or HLS streams for large audiences. A co-pilot agent monitors stream health and uses `update_live_streaming` to adjust layouts or streaming endpoints dynamically. If the stream encounters issues, the agents negotiate the best recovery strategy. One agent can execute `stop_live_streaming` while the other prepares a backup room, ensuring zero downtime for your audience.
Automated meeting transcription and analysis
The `start_transcription` tool lets your transcription agent start real-time text capture during an active call. A separate analysis agent monitors the live feed and uses `update_transcription` to focus on specific key speakers. Once the meeting concludes, the agents collaborate to clean up the transcript and archive it. They execute `stop_transcription` and compile a summary, deciding together when the data is ready for final delivery.
Set up Daily.co 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Daily.co tools and returns structured results.
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="Daily.co_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Daily.co data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Daily.co_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Daily.co data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Daily.co. 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 Daily.co MCP in AutoGen
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