@intempt/mcp-server

@intempt/mcp-server

MCP server for Intempt GrowthOS — AI content generation, brand management, knowledge base, and user/account lookup through natural language.

Category
访问服务器

README

@intempt/mcp-server

MCP server for Intempt GrowthOS — AI content generation, brand management, knowledge base, and user/account lookup through natural language.

Works with Claude Desktop, Claude Code, Cursor, Windsurf, VS Code (Copilot), Zed, Cline, and any MCP-compatible client.

Quick Start

Run directly (no install):

npx @intempt/mcp-server

Or install globally:

npm install -g @intempt/mcp-server
intempt-mcp-server

Requires Node.js >= 18.

Setup by Platform

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "intempt": {
      "command": "npx",
      "args": ["-y", "@intempt/mcp-server"],
      "env": {
        "INTEMPT_ORG": "your-org",
        "INTEMPT_PROJECT": "your-project"
      }
    }
  }
}

Claude Code

claude mcp add intempt -- npx -y @intempt/mcp-server

Set your org and project:

export INTEMPT_ORG=your-org
export INTEMPT_PROJECT=your-project

Cursor

Open Cursor Settings > MCP Servers > Add:

{
  "mcpServers": {
    "intempt": {
      "command": "npx",
      "args": ["-y", "@intempt/mcp-server"],
      "env": {
        "INTEMPT_ORG": "your-org",
        "INTEMPT_PROJECT": "your-project"
      }
    }
  }
}

Windsurf

Edit ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "intempt": {
      "command": "npx",
      "args": ["-y", "@intempt/mcp-server"],
      "env": {
        "INTEMPT_ORG": "your-org",
        "INTEMPT_PROJECT": "your-project"
      }
    }
  }
}

VS Code (GitHub Copilot)

Add to your workspace .vscode/mcp.json:

{
  "servers": {
    "intempt": {
      "command": "npx",
      "args": ["-y", "@intempt/mcp-server"],
      "env": {
        "INTEMPT_ORG": "your-org",
        "INTEMPT_PROJECT": "your-project"
      }
    }
  }
}

Zed

Edit ~/.config/zed/settings.json:

{
  "context_servers": {
    "intempt": {
      "command": {
        "path": "npx",
        "args": ["-y", "@intempt/mcp-server"],
        "env": {
          "INTEMPT_ORG": "your-org",
          "INTEMPT_PROJECT": "your-project"
        }
      }
    }
  }
}

Cline

Open Cline Settings > MCP Servers > Add Custom Server:

{
  "mcpServers": {
    "intempt": {
      "command": "npx",
      "args": ["-y", "@intempt/mcp-server"],
      "env": {
        "INTEMPT_ORG": "your-org",
        "INTEMPT_PROJECT": "your-project"
      }
    }
  }
}

Authentication

Interactive Login (Device Flow)

Say "log me in to Intempt" in your AI assistant. The server opens a browser link for Google, Microsoft, or Apple sign-in. Credentials persist at ~/.intempt/mcp-auth.json and tokens auto-refresh.

Static Token (CI / Automation)

Set INTEMPT_AUTH_TOKEN to skip interactive login:

{
  "env": {
    "INTEMPT_AUTH_TOKEN": "your-jwt-token",
    "INTEMPT_ORG": "your-org",
    "INTEMPT_PROJECT": "your-project"
  }
}

Tools (22)

Content Generation

Powered by Blu Chat AI. Each tool generates production-ready marketing content.

Tool Example prompt
generate_email "Write a cold outreach email for enterprise SaaS buyers"
generate_sms "Flash sale SMS with 20% off code SPRING20, ends Friday"
generate_push_notification "Abandoned cart reminder for running shoes"
generate_landing_page "Landing page for our spring sale with hero, features, and CTA"
generate_slack_message "Team announcement about hitting 10k active users"
generate_text "Product description for our analytics dashboard"
generate_image "Hero image for a summer sale campaign"

Knowledge Base

Tool Example prompt
list_knowledge "What's in the AI knowledge base?"
add_knowledge "Add https://acme.com/pricing to the knowledge base"

Brand

Tool Example prompt
get_brand "Show me our brand voice and style guidelines"
get_personas "Show me all our buyer personas"
create_persona "Create a persona: VP Marketing at mid-market SaaS, cares about ROI"

Lookup

Tool Example prompt
lookup_user "Tell me everything about sarah@acme.com"
lookup_account "Show me the Acme Corp account"

Summaries

AI-generated user and account insights.

Tool Example prompt
summarize_user "Summarize sarah@acme.com"
summarize_account "Summarize the Acme Corp account"

Outreach

Draft personalized messages and replies.

Tool Example prompt
draft_message "Draft an email for sarah@acme.com about our new feature"
reply_to_email "Reply to thread xyz with a friendly follow-up"

Email QA

Tool Example prompt
preflight_email "Check this email HTML before I send it"

Auth

Tool Example prompt
login "Log me in to Intempt"
logout "Log me out"
whoami "Which account am I connected to?"

Environment Variables

Core

Variable Default Description
INTEMPT_ORG Organization slug (required)
INTEMPT_PROJECT Project slug (required)
INTEMPT_AUTH_TOKEN Static JWT token (skips interactive login)
INTEMPT_API_URL https://api.intempt.com API gateway URL
INTEMPT_AUTH_URL https://auth.intempt.com Auth service URL

HTTP Transport

Variable Default Description
MCP_TRANSPORT stdio Set to http for remote mode
MCP_PORT 3010 HTTP server port
MCP_SERVER_URL http://localhost:3010 Public URL for OAuth callbacks
MCP_CLIENT_ID intempt-mcp OAuth client ID
MCP_DEFAULT_PROVIDER google Default social login provider

HTTP Transport (Remote Mode)

For shared infrastructure, multi-user environments, or Claude Connectors:

MCP_TRANSPORT=http MCP_PORT=3010 npx @intempt/mcp-server

This starts an HTTP server with OAuth 2.1 (PKCE) at http://localhost:3010.

Endpoints:

Endpoint Auth Description
POST /mcp Bearer MCP JSON-RPC
GET /mcp Bearer SSE streaming
DELETE /mcp Bearer Session teardown
GET /health None Health check ({"status":"ok","sessions":N})
GET /.well-known/oauth-authorization-server None OAuth discovery

Docker

Build and run the HTTP transport in a container:

docker build -t intempt-mcp .
docker run -p 3010:3010 \
  -e INTEMPT_ORG=your-org \
  -e INTEMPT_PROJECT=your-project \
  intempt-mcp

Or with docker compose:

INTEMPT_ORG=your-org INTEMPT_PROJECT=your-project docker compose up

Pull from GHCR (after CI publishes):

docker pull ghcr.io/intempt/mcp-server:latest

CI/CD

Two GitHub Actions workflows:

.github/workflows/ci.yml — Build & Test

Runs on every push to main and on pull requests. Tests against Node.js 18, 20, and 22.

.github/workflows/publish.yml — Publish on Tag

Triggered by version tags (v*). Publishes to three registries:

  1. npmnpm publish --access public (requires NPM_TOKEN secret)
  2. GitHub Packages — scoped @intempt package (uses GITHUB_TOKEN)
  3. GHCR — Docker image with semver tags (uses GITHUB_TOKEN)

Release workflow:

npm version patch          # or minor, major
git push && git push --tags

The tag push triggers the publish workflow which builds, tests, and publishes to all three registries.

Required secrets:

Secret Where to set Purpose
NPM_TOKEN GitHub repo > Settings > Secrets npm publish
GITHUB_TOKEN Automatic GitHub Packages + GHCR

Development

git clone https://github.com/intempt/mcp-server.git
cd mcp-server
npm install
npm run build
npm test
npm run dev    # TypeScript watch mode

Publishing Manually

npm

npm publish --access public

The prepublishOnly hook runs tsc automatically.

GitHub Packages

echo "@intempt:registry=https://npm.pkg.github.com" >> .npmrc
npm publish

Docker (GHCR)

docker build -t ghcr.io/intempt/mcp-server:latest .
docker push ghcr.io/intempt/mcp-server:latest

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选