Dappier MCP Server

Name: Dappier MCP Server
Author: DappierAI

@DappierAI

关于 Dappier MCP Server

Enable fast, free real-time web search and access premium data from trusted media brands—news, financial markets, sports, entertainment, weather, and more. Build powerful AI agents with Dappier.

基本信息

分类

媒体与设计

许可证

MIT

运行时

python

传输方式

stdio

发布者

DappierAI

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "dappier-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@DappierAI/dappier-mcp",
        "--client",
        "claude"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Dappier MCP Server?

Dappier MCP Server provides fast, free real‑time web search and access to premium data from trusted media brands—news, financial markets, sports, entertainment, weather, and more. It enables developers to build powerful AI agents that query live web data and curated content without any training or fine‑tuning.

How to use Dappier MCP Server?

Obtain a Dappier API Key from platform.dappier.com/profile/api-keys. Install via Smithery (npx -y @smithery/cli install @DappierAI/dappier-mcp) or manually with uvx. Configure by setting the DAPPIER_API_KEY environment variable in your client’s configuration files (Claude Desktop, Cursor, or Windsurf). Usage examples and detailed installation steps are provided in the README.

Key features of Dappier MCP Server

Real‑time web search via Dappier’s AI‑powered index
Stock market insights with real‑time prices and trade signals
AI‑powered content recommendations for sports, lifestyle, pets, and more
Domain‑specific models (e.g., iHeartDogs, iHeartCats, GreenMonster, WISH‑TV)
Advanced search options: tune algorithm, focus on a domain, adjust result count
No training or fine‑tuning required – works out of the box

Use cases of Dappier MCP Server

Build news agents and travel planners with live web data
Create alert bots and trending‑topic dashboards
Develop portfolio monitoring and trading copilot tools
Generate curated content feeds for sports, lifestyle, or local news

FAQ from Dappier MCP Server

How do I get a Dappier API key?

What are the installation prerequisites?

You need uv installed. On macOS/Linux run curl -LsSf https://astral.sh/uv/install.sh | sh; on Windows use powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex".

Which client configurations are supported?

The README includes instructions for Claude Desktop, Cursor, and Windsurf. Each requires setting the DAPPIER_API_KEY environment variable and the correct path to uvx.

What data models are available?

Multiple models are provided, identified by specific model IDs: real‑time web search (am_01j06ytn18ejftedz6dyhz2b15), stock market insights (am_01j749h8pbf7ns8r1bq9s2evrh), and content recommendation models for sports, lifestyle, iHeartDogs, iHeartCats, GreenMonster, and WISH‑TV AI.

How can I tune search results?

Advanced options let you set the search algorithm (e.g., semantic, most_recent, trending), restrict results to a specific domain (ref), and control the number of results (similarity_top_k, num_articles_ref).

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