Fireflies.ai MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Fireflies.ai through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Fireflies.ai Assistant",
instructions=(
"You help users interact with Fireflies.ai. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Fireflies.ai"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 12 tools from Fireflies.ai through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Fireflies.ai, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Fireflies.ai MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Fireflies.ai
Why Use OpenAI Agents SDK with the Fireflies.ai MCP Server
OpenAI Agents SDK provides unique advantages when paired with Fireflies.ai through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Fireflies.ai + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Fireflies.ai MCP Server delivers measurable value.
Automated workflows: build agents that query Fireflies.ai, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Fireflies.ai, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Fireflies.ai tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Fireflies.ai to resolve tickets, look up records, and update statuses without human intervention
Fireflies.ai MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Fireflies.ai to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Fireflies.ai to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Fireflies.ai + OpenAI Agents SDK FAQ
Common questions about integrating Fireflies.ai MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.