Connect Fireflies with Devin AI

Bridge the gap between meeting decisions and code implementation – let Devin access your conversation context while building.

Why This Matters to You

Product managers discuss complex features in Monday's planning meeting, detailing specific requirements and user feedback. By Friday, when development starts, those nuanced details are buried in notes or lost entirely. Devin ends up building based on incomplete context.

Fireflies' integration with Devin changes this completely. As the first AI meeting tool on Devin's MCP marketplace, Fireflies gives your AI coding assistant direct access to the conversations that shaped your requirements. When Devin codes that feature, it can reference exactly what your team discussed.

What You'll Accomplish

By connecting Fireflies with Devin, you'll transform how your team builds software:

Getting Started

Step 1: Access the Devin MCP Marketplace

Navigate to Devin's official MCP marketplace where Fireflies is prominently featured.

1. Open Devin and go to Settings

   

2. Click MCP Marketplace in the left navigation

   

3. Find Fireflies in the featured integrations

   

4. Click on the Fireflies integration tile

   

Step 2: Set Up the Integration

Connect your Fireflies account with Devin using OAuth authentication.

1. Click Enable on the Fireflies MCP page

   

2. Tick the box before enabling it

3. Follow the prompts to authorize Devin's access to your Fireflies data

4. Confirm the connection and test access

   

Step 3: Verify Connection

Ensure Devin can access your meeting data effectively.

1. Ask Devin a simple query like "Show me my recent meetings"

2. Verify that Fireflies transcripts appear in the response

3. Test a more specific query to confirm full functionality

4. Check that meeting context is properly integrated

How Teams Are Using Fireflies + Devin

Development Teams

Context-driven coding:

• "Reference the technical requirements discussed in yesterday's architecture meeting while building the user authentication system"

• "Check what performance constraints the product team mentioned for the dashboard feature"

• "Review the API discussion from last week's engineering standup before implementing the integration"

Bug resolution with meeting context:

• "Find mentions of this bug in recent customer calls and understand the user impact"

• "Reference the debugging session we had last Tuesday while fixing this issue"

Product Development

Feature implementation:

• "Build the checkout flow based on the user experience requirements discussed in Monday's product meeting"

• "Implement the search functionality using the specifications from the customer feedback session"

• "Code the notification system according to the UX decisions made in yesterday's design review"

Requirement clarification:

• "What specific edge cases did the product team mention for the payment processing feature?"

• "Summarize the accessibility requirements discussed across this week's design meetings"

Cross-functional Collaboration

From Slack integration:

• "What were the main technical concerns raised in this morning's product planning meeting?"

• "Summarize the customer feedback about our mobile app from this week's support calls"

• "Find all mentions of performance optimization in our recent engineering meetings"

Direct Devin queries:

• "Create a summary of all API-related discussions from the past month"

• "List the security requirements mentioned in our client onboarding calls"

Advanced Use Cases

Meeting-Informed Development

Instead of working from static requirements documents, Devin can now:

• Access real-time context – Reference live discussions about feature priorities, technical constraints, and user feedback while writing code

• Understand decision rationale – Know not just what to build, but why specific approaches were chosen based on team discussions

• Incorporate stakeholder feedback – Build features that reflect actual customer needs expressed in sales calls and user interviews

Cross-Platform Workflow

• Slack Integration – Query Fireflies data directly from your team's Slack workspace, making meeting insights available where most collaboration happens

• Devin Direct Access – Ask detailed questions about meeting content while actively coding, without switching contexts or tools

Security and Permissions

Your Fireflies data remains secure with the same protections you're already familiar with:

Advanced Configuration

For detailed MCP setup instructions across multiple AI tools or alternative configuration methods, visit our comprehensive MCP Server Configuration guide.

Making Sense of It All

• Fireflies is the first meeting tool officially listed on Devin's MCP marketplace, giving you early access to meeting-informed development

• Devin can now reference specific meeting discussions while coding, ensuring implementation matches original requirements and stakeholder intent

• Cross-platform access lets you query meeting insights from both Slack and directly within Devin's interface

• The integration maintains all existing security and privacy controls from your Fireflies workspace

• This connection transforms development from working with static documents to context-aware coding based on live team discussions