Fireflies.ai MCP Server for AutoGenGive AutoGen instant access to 12 tools to Add To Live Meeting, Ask Fred, Delete Transcript, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Fireflies.ai as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this App Connector for AutoGen
The Fireflies.ai app connector for AutoGen is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="firefliesai_alternative_agent",
tools=tools,
system_message=(
"You help users with Fireflies.ai. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 Fireflies.ai MCP Server
Connect your Fireflies.ai account to any AI agent and take full control of your meeting documentation and conversational knowledge retrieval through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Fireflies.ai tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Meeting Orchestration — List and manage meeting transcripts programmatically, including retrieving AI summaries, action items, and complete text logs
- Live Transcription — Programmatically invite the Fireflies bot to ongoing Zoom, Google Meet, or Teams calls for real-time recording and documentation
- Transcript Intelligence — Use 'AskFred' to ask complex natural language questions about specific meeting contents and retrieve instant, high-fidelity answers
- Asset Management — Upload public audio URLs for automated transcription and manage meeting soundbites to preserve critical conversation clips
- Organizational Visibility — Retrieve team member directories and account metadata to coordinate meeting knowledge across your entire workspace
The Fireflies.ai MCP Server exposes 12 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Fireflies.ai tools available for AutoGen
When AutoGen connects to Fireflies.ai through Vinkius, your AI agent gets direct access to every tool listed below — spanning meeting-transcription, ai-summarization, action-items, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Invite bot to live call
Ask AI about a meeting
Delete a meeting record
Get my profile
Get AI App responses
Get transcript details
List meeting soundbites
List organization users
List all meeting transcripts
List active webhooks
Update meeting title
Transcribe audio file
Connect Fireflies.ai to AutoGen via MCP
Follow these steps to wire Fireflies.ai into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Fireflies.ai MCP Server
AutoGen provides unique advantages when paired with Fireflies.ai through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Fireflies.ai tools to solve complex tasks
Role-based architecture lets you assign Fireflies.ai tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Fireflies.ai tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Fireflies.ai tool responses in an isolated environment
Fireflies.ai + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Fireflies.ai MCP Server delivers measurable value.
Collaborative analysis: one agent queries Fireflies.ai while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Fireflies.ai, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Fireflies.ai data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Fireflies.ai responses in a sandboxed execution environment
Example Prompts for Fireflies.ai in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Fireflies.ai immediately.
"Summarize the key decisions from the meeting 'Project Alpha Sync'."
"Invite the Fireflies bot to this Meet link: [url]."
"Ask Fred: 'What was the specific feedback regarding the mobile UI?' for meeting '123'."
Troubleshooting Fireflies.ai MCP Server with AutoGen
Common issues when connecting Fireflies.ai to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Fireflies.ai + AutoGen FAQ
Common questions about integrating Fireflies.ai MCP Server with AutoGen.
