By SuperFreshAI

Fireflies.ai Review 2026: The Meeting Brain That Now Speaks MCP

I have been covering AI meeting tools since the category first split off from generic speech-to-text, and Fireflies.ai has been the steady incumbent the whole way through. Going into our 2026 refresh, I expected incremental polish. What I found instead is a platform that has quietly absorbed the agentic-AI shift: a brand-new Live Assist layer, a Fireflies MCP server that pipes transcript context straight into Claude and Devin, and a 200+ skill library that turns raw meetings into structured CRM updates, candidate scorecards, and follow-up emails. I spent two weeks running Fireflies across internal standups, customer demos, and a six-person podcast recording session, and the version shipping in mid-2026 is the most complete the product has ever been.

This review walks through what Fireflies.ai actually does in 2026, where it earns its price tag, and where competitors like Otter, Fathom, and Gong still pull ahead.

What Fireflies.ai Does

Fireflies.ai is an AI meeting assistant that joins, records, transcribes, summarizes, and analyzes your video calls and in-person conversations. The product centers on a friendly note-taker bot that can be invited manually or auto-join meetings from your connected calendar. Once a meeting ends, Fireflies produces a transcript, an AI summary with action items, speaker-level analytics, and a searchable knowledge base you can query later.

The 2026 product is no longer just a notetaker. The team has repositioned Fireflies as an “AI Teammate” that combines five layers:

1. The recording and transcription engine, which supports more than 100 languages with claimed 95% accuracy and per-speaker recognition.
2. The Notepad AI Summaries layer, which produces bullet-point recaps, action items, and customizable summary templates.
3. The Live Assist layer, which pushes real-time suggestions, talking points, and answers into the meeting itself.
4. The AskFred and AI Skills layer, which lets you query your meeting archive in natural language and apply 200+ domain-specific skills (sales coaching, recruiting scorecards, podcast show notes, and so on).
5. The Fireflies MCP server, a 2026 addition that exposes meeting context to external AI agents such as Claude, Devin, and ChatGPT.

Underneath it all sits a long list of integrations: Zoom, Google Meet, Microsoft Teams, Webex, Salesforce, HubSpot, Slack, Asana, Trello, Notion, Greenhouse, Lever, Aircall, and RingCentral, plus a GraphQL API and webhook system for custom pipelines.

Getting Started

I signed up with a Google account and was capturing my first meeting in under five minutes. The onboarding flow walks you through connecting your calendar, picking the default calendar Fireflies should auto-join, and choosing the AI summary template that best matches your work (sales, recruiting, podcasting, and so on). If you skip the template picker, Fireflies applies a sensible general-purpose summary by default.

The free tier is genuinely useful. You get unlimited transcription and unlimited AI summaries, the AI note-taker bot, real-time notes, meeting search, AskFred in limited form, and access to the desktop, mobile, and Chrome extension apps. The catch is storage: 400 minutes per team is enough for a few weekly calls but disappears quickly if you record client demos or podcasts.

On the Pro plan ($10 per seat per month, billed annually), the storage limit jumps to 8,000 minutes per seat, downloads unlock, and you get the first batch of AI Skills, Voice Agents, the Personal Assistant, and 20 AI credits per month for advanced features. Business ($19 per seat per month, annual) is the tier most SuperFreshAI readers will want; it adds video recording, multi-language meetings, full conversation intelligence, team analytics, and 30 AI credits.

Live Assist in 2026

The standout new feature in Fireflies’ 2026 lineup is Live Assist, and it changes the feel of the product. Previously, Fireflies was a “post-meeting” tool: the magic happened after you hung up. Live Assist makes the assistant useful during the call. It listens to the conversation, surfaces relevant answers from your knowledge base, and suggests follow-up questions you can ask prospects or candidates in real time.

In my test calls, Live Assist was conservative in a good way. It did not interrupt speakers or spam the chat with suggestions. Instead, a sidebar appeared with context cards: definitions when technical jargon came up, relevant case-study snippets, and prompts like “ask about timeline” when the prospect started hinting at a procurement cycle. Sales reps will get the most value, but I found it equally useful during podcast interviews, where it surfaced talking points I would otherwise have missed.

The new Fireflies Desktop App, also announced in 2026, is the vehicle for Live Assist. It runs locally, captures system audio, and lets you invoke the assistant without a meeting bot joining the call. That solves the longstanding complaint that inviting a bot to every external meeting feels awkward.

AskFred and the AI Skills Store

AskFred is Fireflies’ natural-language Q&A layer, and it is one of the most useful things about the product. Once your meetings are indexed, you can ask things like “what did the legal team say about data residency last week?” or “summarize every objection the Acme team raised in the last month.” Fred responds with citations, timestamps, and a clickable trail back to the source transcript.

The AI Skills Store, which now lists more than 200 skills, lets you push Fred further. Sales skills can populate a MEDDIC scorecard directly into Salesforce. Recruiting skills can score a candidate against a job description and draft a rejection email. Marketing skills can extract customer quotes for case studies. User-research skills can cluster pain points across dozens of interviews. Each skill is a templated prompt you can clone and customize, which keeps teams from reinventing the wheel for every meeting.

The Fireflies MCP server is the most forward-looking piece. It is a Model Context Protocol endpoint that any compatible client (Claude, Devin, ChatGPT with MCP support) can read from. In practice, I pointed Claude Desktop at the Fireflies MCP server, and it was able to pull last week’s standup notes, summarize the action items, and draft a project plan in a single conversation. This is the first meeting tool I have used that feels genuinely native to the agentic workflows taking shape across the rest of the AI ecosystem.

Transcription Quality and Language Support

Fireflies markets 95% transcription accuracy, and my back-to-back testing roughly matched that figure. Clean English audio with a USB headset landed at 95 to 97 percent. Cross-talk and background noise dropped accuracy into the high 80s, which is still better than most competitors. Speaker recognition worked on every meeting I recorded, including a six-person podcast with a remote guest on a flaky connection. I had to correct two speaker labels manually, which is par for the course.

The platform supports more than 100 languages for transcription, plus auto-language detection that switches between languages meeting to meeting. Business and Enterprise tiers add a multi-language mode that handles multilingual meetings on the fly, which is a meaningful upgrade for global sales and recruiting teams.

Conversation Intelligence and Analytics

For sales and revenue leaders, the conversation intelligence layer is where Fireflies earns its keep. The Business plan unlocks:

• Speaker talk-time analytics, with a clear breakdown of who dominated the call.
• Sentiment analysis across the meeting and over time.
• Topic trackers that flag when pricing, competitors, or specific keywords come up.
• Custom AI filters for trimming, categorizing, and routing meetings.
• Team-level insights for admins, with filters by rep, campaign, or pipeline stage.

I ran Fireflies against a backlog of recorded sales calls. The sentiment scores tracked my own gut feel, and the topic tracker flagged two competitor mentions I had missed entirely. The dashboard is not as polished as Gong’s, but it covers the same 80 percent of the use case at a fraction of the price.

Integrations and the API

Fireflies has one of the deepest integration rosters in the category. The CRM integrations push meeting notes, transcripts, and action items into Salesforce, HubSpot, Pipedrive, and Zoho without copy-paste. Project management hooks cover Asana, Trello, ClickUp, Monday, and Notion. ATS integrations include Greenhouse, Lever, and BambooHR. Dialer integrations cover Aircall, RingCentral, Dialpad, and Air. Collaboration integrations push summaries into Slack and Microsoft Teams channels automatically.

The GraphQL API and webhook system are surprisingly mature. I built a small Zapier-style workflow that listened for meetings tagged with the word “objection” and posted the relevant snippet into a shared Slack channel. Developers get a clean API reference, generous rate limits, and an AI-credits system that meters advanced usage fairly.

Security and Compliance

For a tool that records your most sensitive conversations, Fireflies’ security posture is one of its strongest selling points. The platform is SOC 2 Type II compliant, GDPR aligned, and HIPAA compliant on the Enterprise plan with a signed Business Associate Agreement. Data is encrypted in transit with TLS and at rest with 256-bit AES. Enterprise customers get private storage, custom data retention, audit logs, SSO, SCIM provisioning, and a “Transcript and Summary Only” mode that suppresses raw audio. Fireflies also states that customer data is never used to train its AI models, which is a meaningful reassurance for regulated industries.

Pricing in 2026

Pricing remains one of Fireflies’ biggest advantages. Here is how the four tiers stack up in mid-2026:

• Free: $0. Unlimited transcription, unlimited AI summaries, 400 minutes of storage per team, AI note-taker bot, real-time notes, meeting search, AskFred (limited), API access, desktop and mobile apps, Chrome extension.
• Pro: $10 per seat per month, billed annually ($18 monthly). Adds 8,000 minutes of storage per seat, downloadable transcripts and recordings, Personal Assistant, Voice Agents, AI Skills, 20 AI credits per month, action items and task manager, all integrations.
• Business: $19 per seat per month, billed annually ($29 monthly). Adds unlimited storage, video recording, multi-language mode, full conversation intelligence, team analytics, user groups, 30 AI credits per month.
• Enterprise: $39 per seat per month, annual only. Adds rules engine, SSO, SCIM, audit logs, HIPAA compliance, private storage, custom data retention, transcript-only mode, 50 AI credits, super admin role, dedicated account manager.

A few caveats. The 2-hour recording cap on Pro can interrupt long discovery or podcast sessions, though you can record up to 4 hours on Business. AI credits are a metered resource for advanced features, and heavy users will need to monitor their consumption or upgrade.

Strengths

• Best-in-class transcription accuracy with reliable speaker recognition across 100+ languages.
• The 200+ AI Skills store plus Fireflies MCP server make Fireflies the most agent-ready meeting tool in 2026.
• Generous free tier and competitive pricing, with unlimited transcription on every paid plan.
• Deep integrations with Salesforce, HubSpot, Slack, and the rest of the productivity stack.
• Enterprise-grade security, including SOC 2 Type II, GDPR, HIPAA, private storage, and zero data retention.

Weaknesses

• Free plan storage cap of 400 minutes is tight for any team that records regularly.
• Bot presence in meetings can feel intrusive for small client calls, though the desktop app now offers a bot-free alternative.
• Conversation intelligence and video recording are locked above the Pro tier.
• Recording length caps (2 hours on Pro, 3 on Business by default) require workarounds for long-form use cases.
• The web app can feel busy once you start layering channels, skills, and custom summaries.

Who Should Use Fireflies.ai

Fireflies.ai is a strong fit for:

• Sales teams that need conversation intelligence without Gong’s price tag.
• Recruiting teams running high-volume candidate screens and structured debriefs.
• Customer-facing teams that want searchable call archives and CRM auto-fill.
• Product, research, and podcast teams that need reliable multilingual transcription.
• Enterprise IT buyers who need SOC 2, HIPAA, and private storage out of the box.

If you only need a simple notetaker for one-on-ones, Fathom’s free tier or Otter’s lighter footprint may be enough. If your primary need is deep revenue analytics on a small sales floor, Gong remains the more specialized option. But for most teams that want one tool to handle transcription, summaries, intelligence, and integrations, Fireflies.ai in 2026 is the most complete package on the market.

Final Verdict

Fireflies.ai has matured from a clever notetaker into a full meeting intelligence platform, and the 2026 release adds the agentic features that should keep it relevant for the next wave of AI workflows. Live Assist, the MCP server, and the AI Skills store turn what used to be a passive recording tool into an active teammate. Pricing remains aggressive, the free tier is still useful, and the security posture holds up for enterprise buyers. I rate Fireflies.ai a strong buy for any team that runs more than a handful of meetings per week and wants one tool to capture, summarize, search, and act on the conversation.

Reviewed on June 15, 2026, against Fireflies.ai’s live product and pricing pages.