How to Use the Fireflies.ai MCP in CrewAI

Deploy specialized crews in CrewAI to monitor and summarize meetings. Automate your post-meeting operations.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Fireflies.ai MCP to CrewAI

Create your Vinkius account to connect Fireflies.ai to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Fireflies.ai with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Specialized meeting agents in CrewAI

Assign a researcher agent to `list_transcripts` while a moderator agent uses `update_meeting_title`. Your crew collaborates to organize your meeting history. Each agent has a specific role. This setup ensures that your post-meeting tasks are handled by the right expert without you lifting a finger.

Autonomous meeting monitoring

Have your crew watch for new recordings using `list_active_meetings`. When a meeting starts, they can automatically trigger analysis scripts. This removes the need for manual check-ins. Your crew runs continuously, ensuring every meeting is processed and documented as soon as it concludes.

Direct interaction with AskFred

Deploy an agent to query your meeting knowledge base. Use `get_ask_fred_thread` to retrieve answers from past discussions and feed them into your current project. It allows your agents to act on historical context. They can answer questions about previous decisions by querying the transcripts directly.

Setup guide

Set up Fireflies.ai MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Fireflies.ai tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Fireflies.ai Analyst",
    goal="Access and analyze Fireflies.ai data via MCP.",
    backstory="Expert analyst with direct Fireflies.ai access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Fireflies.ai transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Fireflies.ai Analyst",
        goal="Access and analyze Fireflies.ai data via MCP.",
        backstory="Expert analyst with direct Fireflies.ai access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Fireflies.ai transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Fireflies.ai now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Fireflies.ai MCP in CrewAI

You pass the server URL to your agent configuration. The agents will automatically detect the tools and add them to their available skill set.

They can. Once you define the agent roles and tool access, the crew will execute the tasks without further input.

Only if you allow it. You can filter the tools so your agents only perform the specific tasks you authorize, like reading transcripts but not deleting them.

You control the frequency of agent tool calls. By limiting the agent tasks, you keep your API usage predictable and efficient.

Your transcript data is accessed only by the agents you explicitly authorize. The security is maintained through your API key scope and local execution environment.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript