How to Use the Fireflies.ai MCP in AutoGen

Enable multi-agent debate on meeting data using the Fireflies.ai MCP Server and AutoGen.

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Connect Fireflies.ai MCP to AutoGen

Create your Vinkius account to connect Fireflies.ai 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 Fireflies.ai with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate meeting insights with multi-agent teams

Assign one agent to fetch data via `get_transcript` and another to analyze it. The agents discuss the results and refine their conclusions before presenting an answer. This prevents single-point-of-failure logic. If the analyst agent finds an inconsistency, it can query `ask_fred` again to clarify the meeting context.

Automate meeting title and record management

Let your agents handle administrative cleanup. An agent can monitor meeting lists and use `update_meeting_title` to ensure your records are properly organized without human intervention. This keeps your account clean. Your agents negotiate the naming conventions and execute the changes automatically.

Coordinate team tasks from meeting transcripts

Use agents to extract tasks from meetings and manage user assignments. By calling `list_team_users`, your agents identify who was in the meeting and map them to action items. This closes the loop between discussion and execution. The agents communicate to ensure every action item has an owner and a reference to the source transcript.

Setup guide

Set up Fireflies.ai 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 Fireflies.ai 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="Fireflies.ai_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Fireflies.ai 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="Fireflies.ai_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fireflies.ai. 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 Fireflies.ai MCP in AutoGen

Yes, you pass the tool list to your agents. They decide when to invoke tools like `ask_fred` based on the conversation flow.

The agents can discuss the error message. They might decide to retry the call or try a different tool like `list_transcripts` to find alternative info.

Data exists within the agent's memory during the conversation. It is not exposed to other systems unless you configure the agent to send it elsewhere.

You control the tool list passed to the constructor. Simply omit tools you don't want the agents to use, such as `delete_transcript`.

The server responds via standard protocols. The total time depends on the API response speed for the specific tool, like `upload_audio`.

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