How do I invite the Fireflies bot to a meeting using the agent?

You can use the 'add_to_live_meeting' tool. Simply provide the Zoom, Google Meet, or Microsoft Teams URL, and the agent will trigger the bot to join and start transcribing.

Can I ask questions about a specific meeting's content?

Yes! The 'create_ask_fred_thread' tool allows you to send a natural language question to Fireflies' AskFred AI assistant regarding a specific transcript ID.

What kind of analytics can I retrieve?

The 'get_analytics' tool provides aggregate metrics such as average words per minute and talk-to-listen ratios, helping you understand team engagement levels across all meetings.

Fireflies.ai MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: Fireflies.ai
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Fireflies.ai through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Fireflies.ai "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Fireflies.ai?"
    )
    print(result.data)

asyncio.run(main())

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* 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.

Pydantic AI validates every Fireflies.ai tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Fireflies.ai MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from Fireflies.ai with type-safe schemas

Why Use Pydantic AI with the Fireflies.ai MCP Server

Pydantic AI provides unique advantages when paired with Fireflies.ai through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Fireflies.ai integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Fireflies.ai connection logic from agent behavior for testable, maintainable code

Fireflies.ai + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Fireflies.ai MCP Server delivers measurable value.

Type-safe data pipelines: query Fireflies.ai with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Fireflies.ai tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Fireflies.ai and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Fireflies.ai responses and write comprehensive agent tests

Fireflies.ai MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Fireflies.ai to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Fireflies.ai to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Fireflies.ai + Pydantic AI FAQ

Common questions about integrating Fireflies.ai MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Fireflies.ai MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.