If you’ve ever spent 20 minutes digging through meeting notes just to answer one question or trying to connect different AI tools together, you know the pain. The context is there, but buried—spread across transcripts, recordings, tools, and your memory.
What if you could connect your meeting data to AI tools and get insights in seconds?
That’s now possible. Today, we’re introducing the first AI meeting connector for Claude—bringing the unique context from your Fireflies meetings directly into Claude in one click. No engineering required, no clunky exports, no privacy trade-offs.
This transforms how teams extract value from their conversations. Instead of manually searching through meeting notes or recordings, users can now ask Claude in plain language questions like "What were the common objections in our enterprise deals last quarter?" or "Which product features did customers request most often?" and receive immediate, actionable answers with real context, not generic AI outputs.
Across sales, product, and customer success, teams are discovering new ways to work smarter and multiply their productivity.
Sales: Spot Trends and Close Deals Faster
Instead of combing through dozens of call recordings, sales reps can ask Claude, “What were the top objections in Q3 enterprise deals?” or “Which features did our biggest wins mention most?”
The answers help refine pitch strategies, anticipate objections, and keep the entire team aligned on what’s actually resonating with prospects. Deals move faster because everyone’s working from the same playbook inspired by real customer conversations.
Marketing: Capture the Exact Voice of the Customer
Marketers don’t have to guess what customers care about most. They can ask Claude, “What problems do prospects mention most often in discovery calls?” or “How do customers describe our product compared to competitors?”
These insights feed content, campaigns, and positioning that sound like customers wrote them—because, in a way, they did. Your marketing stays grounded in authentic language, making every message more persuasive.
Product: Build What Customers Actually Want
Instead of digging through Jira tickets or scattered notes, product managers can ask, “Which feature requests came up most often last month?” or “What concerns did users raise about the new beta?”
This allows teams to prioritize based on actual demand, validate roadmap decisions, and ensure engineering builds solutions that match real-world needs.
Support & Success: Solve Issues Before They Escalate
Customer success teams can search for patterns, such as “What issues have come up most in onboarding calls?” or “Which customers mentioned frustration with reporting?”This proactive approach helps resolve problems before they become churn risks. It also arms customer success managers with data-backed talking points for renewal conversations.
Hear from Our Early Users
Cadre.ai
“With Fireflies MCP bringing transcripts directly into Claude, we’ve cut down the time it takes to build tailored sales proposals from hours to minutes,” says Riley Stricklin, Chief Strategy Officer at GoCadre. “Having meeting context instantly available means our team can move faster, respond more precisely, and ultimately shorten our sales cycle.”
Equify Advisors
According to Taylor Kopnitsky, Partner – NetSuite Practice Lead at Equify Advisor, “Fireflies and its MCP have fundamentally changed every aspect of how we run our business at Equify Advisors. From gathering requirements with clients, to collaborating organically on calls that seamlessly turn into design inputs for our NetSuite architects, to the way we hire and collaborate internally. Fireflies ensures we maximize the value we provide to our clients at every step.”
NisonCo
“The Fireflies MCP server has revolutionized how we leverage AI at NisonCo. As someone who’s been actively developing and implementing MCP servers for various business applications, I can confidently say that Fireflies’ integration with Claude represents a game-changing moment," says Evan Nison President and Founder, NisonCo. "Instead of manually searching through months of call transcripts, we can now instantly access our entire meeting history through Claude’s interface. It’s like giving Claude a perfect memory of our business operations. This has dramatically improved our client onboarding process, strategic planning, and productivity.”
Enterprise-ready Privacy Protections
We built the Fireflies connector for Claude to adhere to existing permission controls, ensuring users only access meetings they're authorized to view in Fireflies. For example, individual sales reps will only access customer calls they have permission to view. This enterprise-grade approach enables powerful AI analysis while maintaining the security and privacy standards that organizations require.
Unlike other AI notetaker solutions, Fireflies has never trained its AI models on customer meeting data—a commitment that extends to the MCP integration. Claude and Anthropic will not use meeting transcripts to train their AI models, ensuring conversations remain private.
Getting started with Fireflies Claude Connector
The Fireflies MCP connector works across Claude Web, Desktop, and Mobile applications, as well as Claude Code for developers building custom workflows, and is available immediately to all Fireflies users with a paid Claude subscription (Pro, Max, Team, or Enterprise).
Connect Fireflies to Claude in Under a Minute
- Sign in to Claude → Open Settings and navigate to the Connectors tab.
- Browse Connectors → Click Browse Connectors to view the full list.
- Select Fireflies → Find Fireflies in the MCP list and click it.
- Connect & Authorize → Hit Connect and follow the prompts to complete OAuth authorization.
Your Meetings, Working Everywhere You Work
Meeting data has always been one of the richest sources of business intelligence, and we believe that meeting insights should drive results for you and be a living source of truth for your team.
We are continuously expanding our reach across the AI ecosystem with AI connectors (from Devin to ChatGPT) that bring meeting context into the LLMs our customers use daily.
