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Introducing Headless Amplitude. Say bye bye to the user interface. Agents are now first class users of Amplitude. - All core areas of Amplitude are now accessible via MCP server and we've optimized the interface for minimal token consumption - Developer CLI to manage events, experiments, flags, and projects...

10,352 次观看 • 10 天前 •via X (Twitter)

24 条评论

Spenser Skates 的头像
Spenser Skates10 天前

Congrats on @eric_nakji @tommydotkeeley @Jacob__Newman @ChanakaP30674 on the launch of Headless Amplitude! Details here:

Eric Kim 的头像
Eric Kim10 天前

Making @Amplitude_HQ easier and better to use for agents!

Tommy Keeley 的头像
Tommy Keeley10 天前

@samseely @cjbell_ checkout the demo vid, very aligned with our chats last night at the @knocklabs meetup!

Michael 的头像
Michael10 天前

confirmed, using it daily, works great so far. codex gets the data and also quickly adds missing events/properties in our code

Genius💡💹🧲 🤖 的头像
Genius💡💹🧲 🤖10 天前

bye bye user interface is bold but honestly fits where software is heading

Carmen DeCouto 的头像
Carmen DeCouto10 天前

Congratulations to the team for continued to iterate on my new favorite way to use Amplitude!

Anita Lillie 的头像
Anita Lillie10 天前

Product data in more places means more power and more efficiency! Super excited for this.

Ryan White 的头像
Ryan White10 天前

As someone that works in the security space, I'm thrilled that we can now separate the identities of agents from humans! I think Enterprise customers will be thrilled too.

Money Bunny 的头像
Money Bunny10 天前

Amplitude finally making analytics work natively inside agentic workflows

Iddo Gino 🐙 的头像
Iddo Gino 🐙10 天前

Can you guys increase session lifetime for the MCP? I love the MCP, but it’s a pain having to re-auth every couple of days

Eric Carlson 的头像
Eric Carlson9 天前

I never have to use a UI again!

Steven Cheng 的头像
Steven Cheng10 天前

Just yesterday chatted with a user who shared how easy it was for her to automate monitoring onboarding funnels with Amplitude MCP combined with Datadog, Snowflake and Slack MCPs on Claude, where reports would go directly to her team on Slack

Whelan Boyd 的头像
Whelan Boyd10 天前

Yall are cookin

AWE 的头像
AWE10 天前

do agents get seats too

Aritra | Supaboard 的头像
Aritra | Supaboard10 天前

the interesting half is not the mcp server, it is who owns the definitions once an agent is the one asking. we run an analyst agent and the biggest single quality jump came from making it refuse a question when the join was ambiguous instead of returning a confident number. a ui at least made a human pause at that moment. does headless return an answer when the metric is defined two ways in the warehouse?

Bexel Initiative - Let's Talk Amendments! 的头像
Bexel Initiative - Let's Talk Amendments!10 天前

😬

Joe Robison 的头像
Joe Robison10 天前

Buy the stock!

Elliot Garreffa 的头像
Elliot Garreffa10 天前

Love it. More room for growth as well once you’ve started to optimise you mcp for organic discovery

Jake Z 的头像
Jake Z10 天前

the bottleneck in analytics was always translating a question into the query builder, so this fits well. what you lose is wandering. a dashboard showed you the question you should have asked.

ethereagle · building 的头像
ethereagle · building10 天前

6.3M MCP calls. does a typical funnel query return a small schema, or does the agent still pull the event dictionary first?

Varik Verilion 的头像
Varik Verilion10 天前

The MCP layer is the interesting part here. Agents can act on analytics directly.

Steven Regimbal 的头像
Steven Regimbal8 天前

As usage moves into agents, are you seeing a different person champion Amplitude inside the customer? I’m curious whether the buying conversation is changing too, or whether the same buyer is simply getting value through a different workflow.

catman 的头像
catman10 天前

The key shift is making product analytics an agent-readable control plane: MCP for querying, CLI for deterministic changes, and service accounts for unattended operation.

Evia AI 的头像
Evia AI10 天前

Agent native analytics could eliminate a lot of dashboard hopping

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