原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Outlit

作者:OutlitAI版本 1.1.0i★ –i在云端运行
注册名称ai.outlit/outlit

安装

概览

作者提供的说明(英文原文)

Ask about any customer and get one matched record across CRM, billing, support and product data.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 营销与社交媒体

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://mcp.outlit.ai/mcp

在终端中运行这条命令

claude mcp add --transport http outlit https://mcp.outlit.ai/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "outlit": {
      "url": "https://mcp.outlit.ai/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "outlit": {
      "type": "http",
      "url": "https://mcp.outlit.ai/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://mcp.outlit.ai/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

服务器要求先登录,才会列出它的工具。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 outlit.ai 验证(注册中心会核实域名所有权)

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • ✓ 通过

    端点有响应

    在 1403 毫秒内响应(HTTP 401)

  • ✓ 通过

    使用 OAuth 登录

    声明支持 OAuth 登录,你的 AI 应用可以带你去登录

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“营销与社交媒体”中的其他服务器比较i

  • 星标数多于此分类中其他 2956 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2956 个服务器的 95% 更新
  • 基础检查结果等于或优于此分类中其他 2956 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Outlit 安全吗?

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.1.0)于昨天进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

MCP YouTube Transcript

作者:jkawamoto

An MCP server retrieving transcripts of YouTube videos

在你的电脑上运行★ 495MIT9天前更新
安装

Google Analytics MCP

作者:surendranb

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

在你的电脑上运行★ 244MIT9天前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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:

SurfaceCanonical URLPurpose
Documentationhttps://docs.outlit.aiProduct guides plus SDK, CLI, API, MCP, and customer context documentation
Docs index for agentshttps://docs.outlit.ai/llms.txtMachine-readable map of documentation pages
Product resource indexhttps://www.outlit.ai/llms.txtAgent-facing map of SDK packages, docs, API contracts, MCP, CLI, Pi, and skills
OpenAPI spechttps://docs.outlit.ai/openapi.jsonCanonical OpenAPI contract for public API and ingest surfaces
API cataloghttps://www.outlit.ai/.well-known/api-catalogLinkset for API, MCP, OAuth, docs, and support discovery
AI cataloghttps://www.outlit.ai/.well-known/ai-catalog.jsonAgentic Resource Discovery catalog for Outlit API, MCP, skills, and SDK resources
MCP Registry listinghttps://registry.modelcontextprotocol.io/v0.1/servers?search=ai.outlit/outlitOfficial MCP Registry search surface for ai.outlit/outlit
MCP server metadatahttps://mcp.outlit.ai/.well-known/mcp/server.jsonRuntime metadata for the hosted remote MCP server
MCP server cardhttps://mcp.outlit.ai/.well-known/mcp/server-card.jsonRuntime discovery card for the hosted remote MCP server
MCP docshttps://docs.outlit.ai/ai-integrations/mcpConnect remote MCP clients with workspace URLs and OAuth
Agent skillshttps://docs.outlit.ai/ai-integrations/skillsOfficial 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:

PackageInstallUse when
@outlit/browsernpm install @outlit/browserBrowser apps, React, Next.js, Vue, Nuxt, SvelteKit, Angular, Astro, and script-tag tracking
@outlit/nodenpm install @outlit/nodeNode.js servers, API routes, jobs, webhooks, CLIs, desktop main processes, and native JavaScript runtimes
@outlit/corenpm install @outlit/coreLower-level custom SDK implementations that do not need browser or Node runtime helpers
@outlit/clinpm install -g @outlit/cliTerminal access to Outlit customer intelligence and setup workflows
@outlit/toolsnpm install @outlit/toolsCustom API or agent integrations that need typed Outlit tool gateway contracts and client helpers
@outlit/pinpm install @outlit/piPi agents that need Outlit customer intelligence tools and skill guidance
Rust cratecargo add outlitRust 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:

  1. Select which packages are affected
  2. Choose the version bump type (patch, minor, major)
  3. 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 optional verify_write input 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:

SecretDescription
NPM_TOKENnpm 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:

VariableDescription
GCP_WORKLOAD_IDENTITY_PROVIDERFull WIF provider resource name (projects/ /locations/global/workloadIdentityPools/ /providers/ )
GCP_SERVICE_ACCOUNTDeploy service account email with Storage Object Admin on cdn.outlit.ai bucket
Creating NPM_TOKEN
  1. Go to npmjs.com and sign in
  2. Navigate to Access Tokens → Generate New Token → Granular Access Token
  3. Set permissions: Read and write for @outlit packages
  4. Copy the token and add as NPM_TOKEN secret in GitHub
Creating the GCP Workload Identity setup
  1. Go to Google Cloud Console
  2. Navigate to IAM & Admin → Service Accounts
  3. Use the deploy service account (github-actions-cdn-deploy)
  4. Grant "Storage Object Admin" role on the cdn.outlit.ai bucket
  5. Create a dedicated Workload Identity Pool for this repo with an OIDC provider for GitHub (issuer `https://token.actions.githubusercontent.

只显示了开头部分;其余内容请在仓库中阅读

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