Joinly
Joinly puts AI agents inside your meetings to write, speak, search, and run tasks in real time
Joinly is the most interesting early bet in this category because it acts during the call rather than reporting afterwards — writing into chat, speaking back, updating a Miro board live, and firing follow-ups through MCP. Its July 2025 digital-twin tutorial and October 2025 MCP post show a team thinking about meetings as an agent interface, not a transcript dump. If you need reliable recap, a specialist note-taker solves that more cheaply.
Verified 6m ago · liveness 63/100 · cite: rightaichoice.com/tools/joinly
- Remote and hybrid teams that want an AI participant instead of a note-taker
- Project managers who need Miro boards updated live as decisions happen
- Innovation and brainstorming teams working with an agent that searches and drafts in-call
- Developers building custom meeting agents by connecting MCP servers or their own functions
- Teams that only need meeting transcription and summary
- Anyone who needs the agent to present slides or a Miro board itself today — screen sharing is listed as coming soon
- Organizations requiring an on-premise deployment
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Skip Joinly if you need a finished meeting workflow where the agent presents slides or a Miro board itself — screen sharing is still listed as coming soon — or if you want a plug-in note-taker with a long list of native connectors rather than an agent you wire up through MCP.
Custom agent functions and external MCP servers mean engineering time: someone has to build and maintain the server, and that work is yours, not Joinly's.
No price list is published anywhere in Joinly's public material, so cost cannot be benchmarked against Otter.ai, Fireflies.ai or Fathom before you talk to the vendor. Treat it as a conversation-led purchase: budget for the platform plus the engineering time to build MCP servers and custom functions, which is the real cost driver at small-team scale.
In short
Joinly — Joinly puts AI agents inside your meetings to write, speak, search, and run tasks in real time. Best for Remote and hybrid teams that want an AI participant instead of a note-taker, Project managers who need Miro boards updated live as decisions happen, Innovation and brainstorming teams working with an agent that searches and drafts in-call. Contact Sales pricing.
What's new in Joinly
Checked todayAcross the latest 3 updates: 3 news mentions.
MCP: The backbone of joinly
Explains how Joinly uses MCP inside the product and how you can connect external MCP servers to customise your meeting agent.
How to create a digital twin of yourself that joins low-value meetings for you
A tutorial on building a digital twin with Joinly so an agent attends low-value meetings on your behalf.
joinly.ai: Agentic meeting automation beyond note-taking
Introduces Joinly as an AI teammate for meetings, framing the product around agentic automation rather than passive note-taking.
What people actually say about Joinly — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
33 mentions across 4 sources (Hacker News, Product Hunt, Bluesky, GitHub) · researched Jul 6, 2026.
Average across the 4 sources that answered — each source counts once, not each post.
- +Open-source, active GitHub repo with 528 stars.
- +MCP-based architecture enables custom server integrations.
- +Agents can write in chat, speak, search web, and update boards.
- +Developers can self-host and customize STT/TTS models.
- +Product Hunt launch received 83 upvotes and positive comments.
- −Google Meet integration often fails with HTTP errors.
- −OpenAI API key compatibility is broken for some users.
- −No mobile app or platform support listed.
- −Pricing is opaque with no free tier disclosed.
- −Configuration of STT/TTS services is not flexible enough.
- • Self-hosting requires own compute and OpenAI/Ollama API costs.
- • No free tier information available.
Viability Score
How well maintained and how widely used is Joinly? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Write into the meeting chat in real time to answer questions without interrupting
- Speak to participants and listen to the room during live meetings
- Run live web searches from the context of the meeting
- Search your own data during a call
- Draft and revise presentations collaboratively in the meeting
- Automatically update Miro boards as decisions are made
- Write post-meeting follow-up emails
- Create tickets after the meeting from discussed action items
- Generate documents such as meeting summaries and grant applications
- Connect external MCP servers to customize your meeting agent
- Build and invoke custom agent functions in your next meeting
- Create a digital twin agent that joins low-value meetings for you
- Screen sharing to present slides or a Miro board (vendor lists as coming soon)
- Web-based access with no install
About Joinly
Joinly is a web-based meeting platform where the AI agent is a participant rather than a recorder. Instead of transcribing and summarising after the call, Joinly's agents write into the meeting chat so you get answers without interrupting the discussion, and they can listen to the room, work on tasks mid-session, and speak the result back to participants. The pitch is the agentic loop: act during the meeting, not after it. In practice that covers live web search or search across your own data, drafting presentations you revise with the team in the room, automatically updating a Miro board as decisions land, and producing post-meeting follow-ups such as follow-up emails, tickets, meeting summaries or grant applications. The flexibility runs on the Model Context Protocol — Joinly's own October 2, 2025 blog post calls MCP "the backbone of joinly" and describes connecting external MCP servers to customise your meeting agent, so if you want functionality Joinly doesn't ship you build it and invoke it in your next call. The documented showcase is the digital twin: a July 19, 2025 tutorial walks through building an agent that attends low-value meetings for you. It suits remote and innovation teams who already run calls around Miro boards, slides and shared docs.
Behind the Verdict
Joinly attacks a genuine gap. Note-takers like Otter.ai and Fireflies.ai are good at capture and recap and bad at participation — they sit outside the conversation and report on it afterwards. Joinly inverts that: the agent writes into the meeting chat so an answer arrives without someone stopping the meeting to look it up, it speaks to participants, and it can run a task mid-session and report the result. The published capability list is concrete — live web search, search across your own data, collaborative presentation drafting, automatic Miro board updates as decisions land, post-meeting follow-up emails, tickets, meeting summaries and grant applications. The strategic bet is architectural rather than feature-led. Joinly's October 2, 2025 blog post describes MCP as the backbone of the product, used internally and exposed so you can connect external MCP servers and customise your meeting agent. That means the ceiling is your imagination plus your MCP servers rather than Joinly's roadmap, and the July 19, 2025 tutorial on building a digital twin to attend low-value meetings is the clearest demonstration of what that unlocks. The trade-offs are equally clear. Screen sharing is listed on the homepage as "Soon", so the agent cannot yet present a deck or a Miro board itself — you get the colleague who knows things, not the colleague who presents. The documented integration surface is Miro and MCP, so a team whose stack is Slack, Notion, Jira and Google Meet should expect to build rather than connect. Access is web-only, with the vendor mentioning no mobile or desktop app and no on-premise option, which matters if your organisation has deployment constraints or people who join calls from phones. Where it fits: remote and hybrid product, innovation and brainstorming teams who already work in Miro and want an agent doing lookups, drafting and board updates while the discussion is still live, plus developers comfortable wiring MCP servers. Where it doesn't: teams who need a bulletproof transcript and recap, teams that need the agent to present on screen, and organisations that require on-premise deployment.
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Real-world workflow fit
Concrete scenarios for the personas Joinly actually fits — and what changes day-one when you adopt it.
You open the Joinly agent in the call, ask it to search the web for a benchmark figure mid-discussion, and have it push decided items onto the Miro board as they land instead of after the call.
Outcome: The board is current when the call ends, and nobody spends the next hour reconstructing decisions from memory or a transcript.
The agent writes reference material into the meeting chat without interrupting the debate, then drafts a presentation skeleton in the room and revises it as the team reacts.
Outcome: You leave the session with a draft aligned to what the team actually agreed, rather than a to-do to write it up later.
Following the July 19, 2025 digital-twin tutorial, you build an agent that attends the meeting in your place, and you wire custom behaviour in through an external MCP server.
Outcome: Routine meetings get covered without you attending, and the agent's capabilities grow with the MCP servers you connect rather than with Joinly's release schedule.
Use Cases
- Let an AI agent brainstorm with your team during a live meeting.
- Search the web for real-time information without leaving the call.
- Automatically update a Miro board as decisions are made.
- Generate follow-up emails and tickets immediately after the meeting ends.
- Create a digital twin to attend low-value meetings in your place.
- Draft a presentation during the meeting and revise it with the team.
- Produce meeting summaries or grant applications as post-call documents.
- Connect a custom MCP server so the agent can run your own functions in a call.
Limitations
- Screen sharing is listed as 'Soon' on the homepage, so the agent cannot yet present a deck or a Miro board itself.
- The documented integration surface is short — Miro and MCP are what the vendor shows — so most of your stack will need custom MCP work rather than a native connector.
- Access is web-only; the vendor mentions no mobile or desktop app and no on-premise option.
- No underlying AI model is named anywhere in the public material, so you cannot tell which models are doing the work.
- Setup is conversation-led rather than a self-serve card checkout.
as of 2026-10-09
Verification history
We have re-verified Joinly 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Joinly's pricing actually pencils out — and where peers do it cheaper.
No price list is published anywhere in Joinly's public material, so cost cannot be benchmarked against Otter.ai, Fireflies.ai or Fathom before you talk to the vendor. Treat it as a conversation-led purchase: budget for the platform plus the engineering time to build MCP servers and custom functions, which is the real cost driver at small-team scale.
Setup time & first value
How long it actually takes to get something useful out of Joinly — broken out by persona, not the marketing-page minute.
Getting the agent into a first call is quick because Joinly runs in the browser with no install — expect minutes to a working session. Real first value depends on the persona: Miro users can start updating boards in the first meeting, while anyone wanting custom functions or an external MCP server should budget hours of engineering before the agent does anything Joinly does not already ship.
Switching to or from Joinly
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Otter.ai: run Joinly alongside Otter for a few calls and route lookups and Miro updates to the agent while Otter keeps handling capture and recap.
- →From Fireflies.ai: keep Fireflies for the transcript record and add Joinly as the participant that writes, speaks and acts during the call.
- →From manual note-taking and post-call write-ups: move follow-up emails, tickets and summaries to the agent's post-meeting tasks first, since that is the lowest-risk switch.
- ↗To Otter.ai: if you eventually only need transcript and recap, switch to the note-taker on price and move the Miro and MCP automations back to human processes.
- ↗To Fireflies.ai: if the agent's in-call actions go unused, consolidate on Fireflies for capture plus your existing takeout channel.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 1 video for “Joinly”, and we withheld 1: 1 could not be judged, because “Joinly” is a single word that other videos use for other things. We are showing none, because we could not prove any of them is about Joinly.
Official links
Tools that pair well with Joinly
Common stack mates teams adopt alongside Joinly, with the specific reason each pairing earns its keep.
Read.ai
Read.ai records your meetings across Zoom, Meet, and Teams, then lets you search everything it captured.
Granola
Granola is an AI notepad for back-to-back meetings — you jot the little you can, it writes the polished notes without a bot joining the call.
Tana
Tana is an agentic meeting platform where AI agents file issues, draft docs, and update your CRM during live calls.
Featured Head-to-Head Comparisons
Joinly vs Presto Voice
Presto Voice is a niche, high-value solution for QSR chains with drive-thru heavy operations, proven by partnerships like Dairy Queen. Joinly is a versatile meeting AI that actively collaborates in real-time, ideal for remote teams wanting more than passive transcription. Choose Presto Voice if you run a drive-thru chain and need proven ROI through upselling; choose Joinly if your pain point is unproductive meetings and need an AI teammate that acts, not just listens.
Joinly vs Locus Robotics
Locus Robotics and Joinly serve completely different domains: Locus is a warehouse automation platform using AMRs for physical fulfillment, while Joinly is an AI meeting assistant that actively participates in virtual meetings. Choose Locus for high-volume picking and logistics operations; choose Joinly for boosting remote meeting productivity with interactive AI.
Joinly vs Truleo
Truleo and Joinly serve vastly different domains: Truleo is purpose-built for law enforcement intelligence, connecting siloed data to speed casework, while Joinly redefines meeting productivity with AI agents that actively participate. Your choice hinges on whether you need to solve police data overload or transform how your team collaborates in meetings. For law enforcement, Truleo is the clear pick; for remote teams wanting interactive AI teammates, Joinly leads.
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