Outlit
Overview
Description from the maker (original English)
Ask about any customer and get one matched record across CRM, billing, support and product data.
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 checksi3 of 3 passedChecked from public information; code not scanned yet
- UsageiVery new★ –
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: 3 of 3 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?
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://mcp.outlit.ai/mcpRun this in your terminal
claude mcp add --transport http outlit https://mcp.outlit.ai/mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"outlit": {
"url": "https://mcp.outlit.ai/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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"outlit": {
"type": "http",
"url": "https://mcp.outlit.ai/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://mcp.outlit.ai/mcpMenu 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
The server asks you to sign in before it lists its tools.
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 8, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified against the domain outlit.ai (the registry checks domain ownership)
- … 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
- ✓ Pass
Endpoint responds
Responded in 1403 ms (HTTP 401)
- ✓ Pass
Sign-in with OAuth
Declares OAuth sign-in, so your AI app can take you to log in
- … 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 3594 servers in this category
- Published to the registry more recently than 90% of the other 3594 servers in this category
- Basic checks equal to or better than 100% of the other 3594 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 Outlit safe?
It passed 3 of 3 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 (1.1.0) reached the registry 3 days 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:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Google Analytics MCP
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
BibiGPT YouTube Video Summarizer
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
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.
Outlit SDK
Outlit helps customer-success teams protect and grow long-tail revenue. It connects customer data, monitors for churn risk and expansion opportunities, and brings attention items with supporting evidence to your team.
Start with the product guides for guided setup and your first attention item. For programmatic access, use the developer and agent guide.
This repository contains the public SDK and developer integration packages for Outlit: browser, server, CLI, tool contract, and Pi packages for sending customer signals to Outlit and querying customer context from agent workflows. It is not the hosted remote MCP server implementation; use the canonical Outlit-owned discovery endpoints below for MCP, API, and agent metadata.
Packages
This monorepo contains these packages under the @outlit scope:
- [@outlit/core](./packages/core) - Core SDK functionality and base client
- [@outlit/browser](./packages/browser) - Browser-specific SDK with automatic page view tracking
- [@outlit/node](./packages/node) - Node.js SDK for server-side event tracking
- [@outlit/cli](./packages/cli) - CLI for Outlit customer intelligence
- [@outlit/tools](./packages/tools) - Customer intelligence tool contracts and client helpers for API and agent integrations
- [@outlit/pi](./packages/pi) - Pi package with Outlit customer intelligence tools and skill guidance
Agent and Crawler Discovery
Use these canonical resources for citations, schema-driven clients, and agent setup instead of copying generated specs or server metadata into this repository:
| Surface | Canonical URL | Purpose |
|---|---|---|
| Documentation | https://docs.outlit.ai | Product guides plus SDK, CLI, API, MCP, and customer context documentation |
| Docs index for agents | https://docs.outlit.ai/llms.txt | Machine-readable map of documentation pages |
| Product resource index | https://www.outlit.ai/llms.txt | Agent-facing map of SDK packages, docs, API contracts, MCP, CLI, Pi, and skills |
| OpenAPI spec | https://docs.outlit.ai/openapi.json | Canonical OpenAPI contract for public API and ingest surfaces |
| API catalog | https://www.outlit.ai/.well-known/api-catalog | Linkset for API, MCP, OAuth, docs, and support discovery |
| AI catalog | https://www.outlit.ai/.well-known/ai-catalog.json | Agentic Resource Discovery catalog for Outlit API, MCP, skills, and SDK resources |
| MCP Registry listing | https://registry.modelcontextprotocol.io/v0.1/servers?search=ai.outlit/outlit | Official MCP Registry search surface for ai.outlit/outlit |
| MCP server metadata | https://mcp.outlit.ai/.well-known/mcp/server.json | Runtime metadata for the hosted remote MCP server |
| MCP server card | https://mcp.outlit.ai/.well-known/mcp/server-card.json | Runtime discovery card for the hosted remote MCP server |
| MCP docs | https://docs.outlit.ai/ai-integrations/mcp | Connect remote MCP clients with workspace URLs and OAuth |
| Agent skills | https://docs.outlit.ai/ai-integrations/skills | Official outlit and outlit-sdk skill installation guidance |
The hosted MCP server and OAuth metadata live on mcp.outlit.ai; this SDK repo is the public package and developer integration surface.
Installation
Choose the package that matches the integration surface:
| Package | Install | Use when |
|---|---|---|
@outlit/browser | npm install @outlit/browser | Browser apps, React, Next.js, Vue, Nuxt, SvelteKit, Angular, Astro, and script-tag tracking |
@outlit/node | npm install @outlit/node | Node.js servers, API routes, jobs, webhooks, CLIs, desktop main processes, and native JavaScript runtimes |
@outlit/core | npm install @outlit/core | Lower-level custom SDK implementations that do not need browser or Node runtime helpers |
@outlit/cli | npm install -g @outlit/cli | Terminal access to Outlit customer intelligence and setup workflows |
@outlit/tools | npm install @outlit/tools | Custom API or agent integrations that need typed Outlit tool gateway contracts and client helpers |
@outlit/pi | npm install @outlit/pi | Pi agents that need Outlit customer intelligence tools and skill guidance |
| Rust crate | cargo add outlit | Rust backends, CLIs, and Tauri backends |
Tracking SDK examples:
# For browser applications
npm install @outlit/browser
For Node.js applications
npm install @outlit/node
For custom implementations
npm install @outlit/core
Quick Start
Browser
import { Outlit } from '@outlit/browser'
const outlit = new Outlit({ publicKey: 'pk_xxx', trackPageviews: true, trackForms: true, })
// Identify a user outlit.user.identify({ email: 'user@example.com', traits: { name: 'John Doe' }, customerId: 'cust_123', // Your app's account/workspace/customer ID customerTraits: { plan: 'pro' }, })
// Track events outlit.track('button_clicked', { button_id: 'signup', page: '/homepage', })
// Track meaningful product activity. Core derives lifecycle stages from // ordinary events, including your selected activation event. outlit.track('onboarding_completed', { flow: 'self_serve' })
Using the singleton API
import { init, track, user } from '@outlit/browser'
// Initialize once at app startup init({ publicKey: 'pk_xxx' })
// Then use anywhere track('page_viewed', { page: '/home' }) user().identify({ email: 'user@example.com', customerId: 'cust_123', // Your app's account/workspace/customer ID }) track('subscription_upgraded', { plan: 'pro' })
Using with React
import { OutlitProvider, useOutlit } from '@outlit/browser/react'
// Wrap your app function App() { return (
) }
// Use in components function MyComponent() { const { track } = useOutlit()
return ( track('onboarding_completed')}> Click me
) }
Node.js
import { Outlit } from '@outlit/node'
const outlit = new Outlit({ publicKey: 'pk_xxx', })
// Track server-side events (requires identity) outlit.track({ customerId: 'cust_123', // Your app's account/workspace/customer ID eventName: 'api_request', properties: { endpoint: '/api/users', method: 'GET', status: 200, }, }) // customerId-only track events are valid immediately. // When you later call identify() with the same customerId and an email, // Outlit can link that account/workspace to the customer resolved from email.
// Identify a user outlit.user.identify({ email: 'user@example.com', traits: { plan: 'pro' }, customerId: 'cust_123', // Your app's account/workspace/customer ID customerTraits: { plan: 'pro' }, })
// Track ordinary product events. Billing status comes from verified // integrations such as Stripe, not authoritative SDK commands. outlit.track({ customerId: 'cust_123', eventName: 'subscription_upgraded', properties: { plan: 'pro' }, })
// Flush events before shutdown await outlit.flush()
Features
- Modern TypeScript - Full TypeScript support with type definitions
- Tree-shakeable - Optimized bundle size with dual ESM/CJS exports
- Event Queueing - Automatic batching and flushing of events
- Multi-platform - Separate packages for browser and Node.js
- Auto-tracking - Automatic page view tracking in browser
- Middleware Support - Easy integration with Express and similar frameworks
- Persistent Identity - User and anonymous ID persistence
- High Performance - Minimal overhead and efficient batching
- Type Safe - Full TypeScript support with strict types
Examples
- [Pi agents](./examples/pi-agents) - Build customer intelligence agents in Pi with
@outlit/pi
Development
This project uses a modern monorepo setup with the following tools:
- [Bun](https://bun.sh/) - Fast all-in-one JavaScript runtime and package manager
- [Turbo](https://turbo.build/) - Build system for monorepo orchestration
- [TypeScript](https://www.typescriptlang.org/) - Type-safe JavaScript
- [tsup](https://tsup.egoist.dev/) - Fast TypeScript bundler
- [Biome](https://biomejs.dev/) - Fast linter and formatter
- [Playwright](https://playwright.dev/) - End-to-end testing
- [Changesets](https://github.com/changesets/changesets) - Version management and changelogs
Setup
# Install dependencies
bun install
Build all packages
bun run build
Run tests
bun run test
Lint code
bun run lint
Type check
bun run typecheck
Format code
bun run format
Project Structure
outlit-sdk/
├── .github/workflows/ # CI/CD workflows ├── examples/ │ └── pi-agents/ # Example Pi agents using @outlit/pi ├── packages/ │ ├── browser/ # Browser SDK with React bindings │ ├── cli/ # Outlit CLI │ ├── core/ # Shared types and utilities │ ├── node/ # Node.js SDK │ ├── pi/ # Pi package for Outlit tools │ ├── tools/ # Customer intelligence tool contracts │ └── typescript-config/ # Shared TypeScript configs ├── package.json # Root package with workspace config ├── bun.lock # Bun lockfile ├── turbo.json # Turbo build configuration └── biome.json # Biome linter/formatter config
Creating a Changeset
When making changes that should be released, create a changeset:
bunx changeset
This will prompt you to:
- Select which packages are affected
- Choose the version bump type (patch, minor, major)
- Write a description of the change
The changeset file will be committed with your PR and used to generate changelogs on release.
CI/CD
Workflows
- CI (
ci.yml) - Runs on PRs: lint, typecheck, build, test - Release (
release.yml) - Runs on main: publish canary to npm + CDN, create version PR or publish stable releases - Verify CDN Auth (
verify-cdn-auth.yml) - Manual only: checks Workload Identity Federation exchange and CDN read access; the optionalverify_writeinput writes then deletes one tiny test object under__compliance_checks/
Stable releases are intentionally separate from SDK source merges. See docs/release-coordination.md for the Version Packages checklist and the required Core-production-before-stable-SDK order for coordinated contracts.
Required Secrets
For maintainers setting up the repository:
| Secret | Description |
|---|---|
NPM_TOKEN | npm access token with publish permission for @outlit scope |
CDN deploys authenticate to Google Cloud via Workload Identity Federation instead of a stored service account key. Maintainers configure these repository variables:
| Variable | Description |
|---|---|
GCP_WORKLOAD_IDENTITY_PROVIDER | Full WIF provider resource name (projects/ /locations/global/workloadIdentityPools/ /providers/ ) |
GCP_SERVICE_ACCOUNT | Deploy service account email with Storage Object Admin on cdn.outlit.ai bucket |
Creating NPM_TOKEN
- Go to npmjs.com and sign in
- Navigate to Access Tokens → Generate New Token → Granular Access Token
- Set permissions: Read and write for
@outlitpackages - Copy the token and add as
NPM_TOKENsecret in GitHub
Creating the GCP Workload Identity setup
- Go to Google Cloud Console
- Navigate to IAM & Admin → Service Accounts
- Use the deploy service account (
github-actions-cdn-deploy) - Grant "Storage Object Admin" role on the
cdn.outlit.aibucket - Create a dedicated Workload Identity Pool for this repo with an OIDC provider for GitHub (issuer `https://token.actions.githubusercontent.
Only the beginning is shown; read the rest in the repo