Agent-Native Analytics

Name: Agent-Native Analytics
Author: BuilderIO

by BuilderIOversion 1.0.0i★ –iRuns in the cloud

Registry nameio.github.BuilderIO/agent-native-analytics

Install

Overview

Description from the maker (original English)

Agent-Native Amplitude/Mixpanel - connect data sources, prompt for charts

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Marketing & social media

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://analytics.agent-native.com/mcp

Run this in your terminal

claude mcp add --transport http agent-native-analytics https://analytics.agent-native.com/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agent-native-analytics": {
      "url": "https://analytics.agent-native.com/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agent-native-analytics": {
      "type": "http",
      "url": "https://analytics.agent-native.com/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://analytics.agent-native.com/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account BuilderIO, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Marketing & social mediai

More stars than 0% of the other 2954 servers in this category
Published to the registry more recently than 33% of the other 2954 servers in this category
Basic checks equal to or better than 100% of the other 2954 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Agent-Native Analytics safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

MCP YouTube Transcript

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An MCP server retrieving transcripts of YouTube videos

Runs on your computer★ 495MITUpdated 9 days ago

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Google Analytics MCP

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GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

Runs on your computer★ 244MITUpdated 9 days ago

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BibiGPT YouTube Video Summarizer

by JimmyLv

AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.

Runs in the cloud★ 137MITUpdated 9 days ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Agent-Native

Agent-Native is an open-source TypeScript framework for building agents that pair autonomous work with a purpose-built UI. Define each capability once as an action: the agent uses it as a tool, and the UI calls it from code.

Quick start

npx --yes @agent-native/core@latest create my-agent --standalone --template chat

Follow the getting started guide for a full intro to the framework.

Why build agents with UIs?

Coding agents work with more than a text box. Their environment provides context, tools, files, tests, and previews that make their capabilities and results visible.

Knowledge work needs that same kind of environment. A UI shows what an agent can do and gives people familiar ways to inspect, edit, approve, and share its work.

How Agent-Native works

[Shared actions](https://agent-native.com/docs/actions-overview?utm_source=github&utm_medium=referral&utm_content=readme). The agent calls each capability as a tool, and the UI calls it from code. Both paths use the same validation, permissions, and implementation.
[Shared data](https://agent-native.com/docs/server-database?utm_source=github&utm_medium=referral&utm_content=readme). Work done by the agent appears in the UI, and work done in the UI is available to the agent.
[Shared application state](https://agent-native.com/docs/context-awareness?utm_source=github&utm_medium=referral&utm_content=readme). The agent receives relevant UI state, such as the current page, selected record, or active view.

The agent does not click through the UI. It works through the same action layer as the UI.

Example: a shared action

Create actions/hello.ts:

import { defineAction } from "@agent-native/core/action";

import { z } from "zod";

// One action powers every app surface: UI, agent, HTTP, MCP, A2A, and CLI. export default defineAction({ description: "Return a friendly greeting.", schema: z.object({ name: z.string().default("world").describe("Name to greet"), }), http: { method: "GET" }, run: async ({ name }) => { return { message: Hello, ${name}! }; }, });

The agent receives hello as a tool. React calls the same function with useActionQuery("hello", { name: "Alex" }). Agent-Native also exposes it through HTTP, MCP, A2A, and the CLI.

Included

[Agent chat](https://agent-native.com/docs/agent-surfaces?utm_source=github&utm_medium=referral&utm_content=readme): Let people delegate work, ask questions, and review results in the same UI.
[Authentication and permissions](https://agent-native.com/docs/authentication?utm_source=github&utm_medium=referral&utm_content=readme): Control who can access and change shared work.
[Skills and memory](https://agent-native.com/docs/agent-resources?utm_source=github&utm_medium=referral&utm_content=readme): Give agents reusable expertise and persistent context.
[Automations](https://agent-native.com/docs/automations?utm_source=github&utm_medium=referral&utm_content=readme): Run agent work on schedules or events.
[Agent teams](https://agent-native.com/docs/agent-teams?utm_source=github&utm_medium=referral&utm_content=readme): Delegate work to specialist agents in the same workspace or across connected agents.
[PostgreSQL backend](https://agent-native.com/docs/server-database?utm_source=github&utm_medium=referral&utm_content=readme): Use PostgreSQL in production and PGlite for local development on any Nitro-compatible host.

Example: edit a running app visually

Use /visual-edit in Claude Code to edit a running app on a canvas instead of prompting for each small UI nudge. Compare live pages together, then ask Claude to apply the chosen edits to your source. For example:

/visual-edit the onboarding flow, plus home at every breakpoint

Review the onboarding screens alongside Home at desktop, tablet, and mobile sizes, adjust a button's color or spacing directly, then ask Claude to apply the pending edits to your source. See the Visual Edit guide for the full walkthrough and sharing details.

Bring your LLM, SQL database, tools, and infrastructure. Everything you build stays yours.

See Agent-Native in action:

https://github.com/user-attachments/assets/ef51644b-6506-46d8-8083-0af7b7e5b65c

Open-source agents

Start from one of these agents or use it as an example for your own. For a source-to-answer architecture example, see Brain’s visual overview.

Clips

Record and understand meetings, screens, and voice notes.

Design

Generate and refine interactive designs.

Slides

Create and edit on-brand presentations.

Analytics

Ask questions of your data and build dashboards.

Calendar

Find time, schedule events, and manage bookings.

Mail

Prioritize email, draft replies, and follow up.

Assets

Create and organize on-brand media.

Content

Draft, organize, and publish content.

Plans

Create and review visual plans with diagrams, wireframes, and prototypes.

Explore the full app gallery, or start with the framework guide.

Documentation and community

Read the documentation.
Join Discord to ask questions, share what you're building, and get help.

Contributing

Want to send a change back? Start with CONTRIBUTING.md. DEVELOPMENT.md covers local setup, workspace structure, and guard scripts.

License

MIT

Agent-Native Analytics

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Marketing & social mediai

Common questions

Alternatives

MCP YouTube Transcript

Google Analytics MCP

BibiGPT YouTube Video Summarizer

README from the maker

Agent-Native

Quick start

Why build agents with UIs?

How Agent-Native works

Example: a shared action

Included

Example: edit a running app visually

Open-source agents

Documentation and community

Contributing

License