Fireflies.ai MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Fireflies.ai through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"firefliesai": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Fireflies.ai, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Fireflies.ai through native MCP adapters. Connect 12 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Fireflies.ai MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 12 tools from Fireflies.ai via MCP
Why Use LangChain with the Fireflies.ai MCP Server
LangChain provides unique advantages when paired with Fireflies.ai through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Fireflies.ai MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Fireflies.ai queries for multi-turn workflows
Fireflies.ai + LangChain Use Cases
Practical scenarios where LangChain combined with the Fireflies.ai MCP Server delivers measurable value.
RAG with live data: combine Fireflies.ai tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Fireflies.ai, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Fireflies.ai tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Fireflies.ai tool call, measure latency, and optimize your agent's performance
Fireflies.ai MCP Tools for LangChain (12)
These 12 tools become available when you connect Fireflies.ai to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Fireflies.ai to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFireflies.ai + LangChain FAQ
Common questions about integrating Fireflies.ai MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.