What is Dappier Mcp

Dappier MCP is a Model Context Protocol server that connects any LLM or Agentic AI to real-time, rights-cleared, proprietary data from trusted sources, enabling AI to become an expert in various domains.

Use cases

Use cases include retrieving the latest financial news, providing personalized content recommendations, accessing real-time stock market updates, and conducting web searches for various queries.

How to use

To use Dappier MCP, integrate it with your AI model by utilizing its API endpoints for real-time data search and AI-powered recommendations, customizing parameters as needed.

Key features

Key features include Real-Time Web Search, Stock Market Data, AI-Powered Recommendations, Structured JSON Responses, and Flexible Customization options.

Where to use

Dappier MCP can be used in fields such as finance, news aggregation, sports analysis, lifestyle content discovery, and any application requiring real-time data access.

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.

Explore a wide range of data models in our marketplace at marketplace.dappier.com.

Video Walkthrough

Click the image to watch the full video guide on setting up Dappier MCP with Claude Desktop.

Getting Started

Get Dappier API Key. Head to Dappier to sign up and generate an API key.

Installing via Smithery

To install dappier-mcp for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @DappierAI/dappier-mcp --client claude

Installation

Install uv first.

MacOS/Linux:

curl -LsSf https://astral.sh/uv/install.sh | sh

Windows:

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Usage

Claude Desktop

Update your Claude configuration file (claude_desktop_config.json) with the following content:

{
  "mcpServers": {
    "dappier": {
      "command": "uvx",
      "args": [
        "dappier-mcp"
      ],
      "env": {
        "DAPPIER_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Hint: You may need to provide the full path to the uvx executable in the command field. You can obtain this by running which uvx on macOS/Linux or where uvx on Windows.

Configuration file location:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

Accessing via application:

• macOS:
  1. Open the Claude Desktop application.
  2. In the menu bar, click on Claude > Settings.
  3. Navigate to the Developer tab.
  4. Click on Edit Config to open the configuration file in your default text editor.
• Windows:
  1. Open the Claude Desktop application.
  2. Click on the gear icon to access Settings.
  3. Navigate to the Developer tab.
  4. Click on Edit Config to open the configuration file in your default text editor.

Note: If the Developer tab is not visible, ensure you’re using the latest version of Claude Desktop.

---

Cursor

Update your Cursor configuration file (mcp.json) with the following content:

{
  "mcpServers": {
    "dappier": {
      "command": "uvx",
      "args": [
        "dappier-mcp"
      ],
      "env": {
        "DAPPIER_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Hint: You may need to provide the full path to the uvx executable in the command field. You can obtain this by running which uvx on macOS/Linux or where uvx on Windows.

Configuration file location:

• Global Configuration:
  • macOS: ~/.cursor/mcp.json
  • Windows: %USERPROFILE%\.cursor\mcp.json
• Project-Specific Configuration:
  • Place the mcp.json file inside the .cursor directory within your project folder: <project-root>/.cursor/mcp.json

Accessing via application:

1. Open the Cursor application.
2. Navigate to Settings > MCP.
3. Click on Add New Global MCP Server.
4. The application will open the mcp.json file in your default text editor for editing.

Note: On Windows, if the project-level configuration is not recognized, consider adding the MCP server through the Cursor settings interface.

---

Windsurf

Update your Windsurf configuration file (mcp_config.json) with the following content:

{
  "mcpServers": {
    "dappier": {
      "command": "uvx",
      "args": [
        "dappier-mcp"
      ],
      "env": {
        "DAPPIER_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Hint: You may need to provide the full path to the uvx executable in the command field. You can obtain this by running which uvx on macOS/Linux or where uvx on Windows.

Configuration file location:

• macOS: ~/.codeium/windsurf/mcp_config.json
• Windows: %USERPROFILE%\.codeium\windsurf\mcp_config.json

Accessing via application:

1. Open the Windsurf application.
2. Navigate to Settings > Cascade.
3. Scroll down to the Model Context Protocol (MCP) Servers section.
4. Click on View raw config to open the mcp_config.json file in your default text editor.

Note: After editing the configuration file, click the Refresh button in the MCP Servers section to apply the changes.

Features

The Dappier MCP Remote Server provides powerful real-time capabilities out of the box — no training or fine-tuning needed. Use it to build live, interactive tools powered by the latest web data, financial markets, or AI-curated content.

Real-Time Web Search

Model ID: am_01j06ytn18ejftedz6dyhz2b15

Search the live web using Dappier’s AI-powered index. Get real-time access to:

• Breaking news from across the globe
• Weather forecasts and local updates
• Travel alerts and flight info
• Trending topics and viral content
• Online deals and shopping highlights

Ideal for use cases like news agents, travel planners, alert bots, and more.

Stock Market Insights

Model ID: am_01j749h8pbf7ns8r1bq9s2evrh

This model delivers instant access to market data, financial headlines, and trade insights. Perfect for portfolio dashboards, trading copilots, and investment tools.

It provides:

• Real-time stock prices
• Financial news and company updates
• Trade signals and trends
• Market movement summaries
• AI-curated analysis using live data from Polygon.io

AI-Powered Content Recommendations

Choose from several domain-specific AI models tailored for content discovery, summarization, and feed generation.

Sports News

Model ID: dm_01j0pb465keqmatq9k83dthx34
Stay updated with real-time sports headlines, game recaps, and expert analysis.

Lifestyle Updates

Model ID: dm_01j0q82s4bfjmsqkhs3ywm3x6y
Explore curated lifestyle content — covering wellness, entertainment, and everyday inspiration.

iHeartDogs AI

Model ID: dm_01j1sz8t3qe6v9g8ad102kvmqn
Your intelligent dog care assistant — access training tips, health advice, and behavior insights.

iHeartCats AI

Model ID: dm_01j1sza0h7ekhaecys2p3y0vmj
An expert AI for all things feline — from nutrition to playtime to grooming routines.

GreenMonster

Model ID: dm_01j5xy9w5sf49bm6b1prm80m27
Discover sustainable lifestyle ideas, ethical choices, and green innovations.

WISH-TV AI

Model ID: dm_01jagy9nqaeer9hxx8z1sk1jx6
Tap into hyperlocal news, politics, culture, health, and multicultural updates.

Each recommendation includes:

• A clear title and concise summary
• The original publication date
• The trusted source and domain
• Image preview (if available)
• A relevance score for prioritization

Advanced options let you:

• Tune the search algorithm (semantic, most_recent, trending, etc.)
• Focus results on a specific domain (ref)
• Adjust how many results you want (similarity_top_k, num_articles_ref)

Debugging

Run the MCP inspector to debug the server:

npx @modelcontextprotocol/inspector uvx dappier-mcp

Contributing

We welcome contributions to expand and improve the Dappier MCP Server. Whether you want to add new search capabilities, enhance existing functionality, or improve documentation, your input is valuable.

For examples of other MCP servers and implementation patterns, see:
https://github.com/modelcontextprotocol/servers

Pull requests are welcome! Feel free to contribute new ideas, bug fixes, or enhancements.