Evermuse
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    From customer conversation to shipped feature

    How Evermuse
    Works

    Your customers already told you what to build. It is buried in a few hundred hours of calls nobody has time to rewatch. Connect the Evermuse MCP to your agent and it works through all of it, then hands you a ranked list of what to do next — with the quotes attached.

    1
    Connect

    Add the Evermuse MCP to Claude, ChatGPT, Cursor, Codex, or VS Code

    2
    Ingest & Analyze

    Prompt setup-evermuse in a new chat to bring your data in

    3
    Decide

    Opportunities prioritized by ROI, request volume, and sales blockers

    4
    Ship

    AI-drafted specs that carry the customer problem and constraints with them

    Step 1 — Connect

    Connect the Evermuse MCP to your agent.

    Evermuse works inside the AI tool you already use. Add one MCP endpoint to Claude, ChatGPT, Cursor, Claude Code, or Codex, sign in with your Evermuse account, and your agent can talk to your customer evidence directly.

    • Add the Evermuse MCP to Claude, ChatGPT, Cursor, Codex, or VS Code
    • One endpoint: https://api.evermuse.com/api/mcp
    • Sign in via OAuth 2.1 — no API keys to copy, no passwords shared with the AI
    • Every teammate connects their own client, with their own permissions
    “[The results are] stunningly great, in my opinion... Now I don't have to attend every client interview in person.”
    Erik Peterson
    Erik Peterson
    Head of Product @ ReSim.ai
    SILICON VALLEY VENTURE BACKED
    Step 2 — Ingest & Analyze

    Run setup-evermuse to bring in and analyze your data.

    Start a new chat and prompt setup-evermuse. Evermuse brings your calls, interviews, tickets, surveys and CRM notes into one place, then analyzes each conversation on its own and against everything that came before it, so a comment made once in March is still there when the same pain surfaces in September.

    • Prompt setup-evermuse in a new chat to bring your data in
    • Calls, interviews, tickets, surveys and CRM notes in one place
    • Automated thematic analysis across your whole interview and call library
    • Explicit feature requests and implicit, unspoken needs both surfaced
    • Every finding stays linked to the moment in the call it came from
    “It looks like, yes - you may have cracked this complexity.”
    Hadar Kaminski
    Hadar Kaminski
    Senior UX Researcher @ Redis
    $357M RAISED • 1,000+ EMPLOYEES
    Step 3 — Decide

    Get a ranked list of opportunities, not a wall of transcripts.

    Evermuse turns the analysis into AI Suggestions: concrete product opportunities scored by customer demand, revenue at risk, and deal blockers. Ask follow-up questions in plain language and get answers with the receipts attached.

    • Opportunities prioritized by ROI, request volume, and sales blockers
    • Ask anything about your customers and get cited, quote-backed answers
    • Competitor and market signals surfaced alongside your own data
    • Share a view your whole team works from, instead of five conflicting decks
    “I'm reviewing the insights your product provided - my mind is blown! This is such a game-changer.”
    Shira Dassa
    Shira Dassa
    Product @ Yotpo
    $436M RAISED • 600+ EMPLOYEES
    Step 4 — Ship

    Turn the decision into a spec your engineers can build from.

    Evermuse drafts specs grounded in the customer evidence behind them, then hands them off to the tools your team already lives in. Your coding agents can query the voice of the customer directly over MCP while they work.

    • AI-drafted specs that carry the customer problem and constraints with them
    • Hand off to Jira, Linear, GitHub, or your coding agent of choice
    • Query customer evidence from Cursor, Claude, or Copilot over MCP
    • Track implementation progress against the need that started it
    “Last month alone, we'd save 8.5 hours per team member using Evermuse.”
    Min Zhou
    Min Zhou
    Design Lead @ OpenSea
    $427M RAISED • 700+ EMPLOYEES

    What the first ten minutes look like

    There is no data pipeline to build. Setup is one MCP endpoint, an OAuth sign-in, and one prompt.

    Minute 1
    Add the Evermuse MCP

    Open the connector or MCP settings in Claude, ChatGPT, Cursor, Codex, or VS Code and add a server named "evermuse" with the URL https://api.evermuse.com/api/mcp.

    Minute 2
    Sign in with OAuth

    Authenticate with your Evermuse account when prompted. Evermuse uses standard OAuth 2.1, so there are no API keys to copy.

    Minute 3
    Run setup-evermuse

    Start a new chat and prompt setup-evermuse to bring your calls, interviews, tickets, surveys and CRM notes into Evermuse and analyze them.

    Once your data is in
    Ask about your customers

    Ask product questions and get answers grounded in your real customer evidence, right where you work. The library compounds from there.

    How it stays trustworthy

    An AI that invents customer needs is worse than no AI at all. These are the constraints Evermuse is built around.

    Grounded in real sources

    Every insight, suggestion, and spec traces back to the exact quote and moment it came from. If Evermuse cannot show you the evidence, it does not claim it.

    Secure by default

    SOC 2 Type 2 certified and GDPR compliant, with a published subprocessor list and a DPA available for teams that need one.

    Built for global teams

    Conversations are analyzed in the 20 most commonly spoken languages, so insights from every market land in the same place.

    Fits the stack you have

    Calendars, meeting platforms, call recorders, issue trackers, and coding agents — Evermuse sits between them rather than replacing them.

    Common questions

    Still stuck on something? Browse the full FAQ or talk to the team.

    See it run on your own calls

    Start a free trial — no credit card required. Setup takes under 10 minutes.

    Evermuse
    Monitored by Drata - SOC 2
    Sensiba - SOC 2 Type 2 certified
    GDPR Ready

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    Compare

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