Fireflies.ai MCP Server for AutoGen 12 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Fireflies.ai as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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_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 unlock the power of meeting intelligence through the Model Context Protocol (MCP). Fireflies.ai automates your meeting notes, transcribes conversations across several platforms, and provides deep analytics to help your team stay aligned. Now, you can query your entire meeting history and manage your transcription bot directly through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Fireflies.ai tools. Connect 12 tools through the 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
- Transcript Retrieval — List recent meetings and fetch detailed summaries, action items, and keywords from any transcript.
- AskFred Integration — Leverage Fireflies' AI assistant (AskFred) to ask questions about your meetings or start new analysis threads.
- Live Bot Control — Invite the Fireflies bot to ongoing meetings (Zoom, Google Meet, etc.) by simply providing the meeting URL.
- Conversation Analytics — Access aggregate metrics like talk-to-listen ratios and words-per-minute to improve team communication.
- User & Team Management — List team members and fetch user-specific meeting metadata.
- Transcript Management — Rename transcripts or delete them to keep your meeting database organized and up to date.
- Real-time Monitoring — See which meetings are currently being recorded and transcribed in real-time.
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.
How to Connect Fireflies.ai to AutoGen via MCP
Follow these steps to integrate the Fireflies.ai MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 12 tools from Fireflies.ai automatically
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
Fireflies.ai MCP Tools for AutoGen (12)
These 12 tools become available when you connect Fireflies.ai to AutoGen via MCP:
add_to_live_meeting
Invite Fireflies to a live meeting
create_ask_fred_thread
Ask a question to AskFred
delete_transcript
Delete a transcript
get_analytics
Get meeting analytics
get_ask_fred_thread
Get AskFred thread messages
get_transcript
Get transcript details
get_user
Get user details
list_active_meetings
List meetings currently being recorded
list_ask_fred_threads
List AskFred threads
list_transcripts
List recent transcripts
list_users
List team users
update_meeting_title
Rename a meeting
Example Prompts for Fireflies.ai in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Fireflies.ai immediately.
"List my 5 most recent meeting transcripts."
"Invite Fireflies to join my current meeting at https://zoom.us/j/123456789"
"Show me the action items from meeting ID 'trans_987'."
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.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Fireflies.ai 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 Fireflies.ai to AutoGen
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.