MCP Connector

Access Real-Time Premium Media Data

MCP server for real-time web search, stock market data, and AI content recommendations from trusted media brands.


91
Spark score
out of 100
Updated Jun 2025
Version 1.0.0
Models
universal

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Why it matters

Leverage AI to instantly search and access premium, real-time data from verified media brands across news, finance, sports, and more.

Outcomes

What it gets done

01

Perform real-time searches across diverse media categories.

02

Index and retrieve fresh news, financial insights, and sports updates.

03

Access weather forecasts and travel information.

04

Utilize AI for content discovery and trend analysis.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-dappier | bash

Capabilities

Tools your agent gets

search_news

Search for breaking news and current events from global sources in real-time.

get_stock_prices

Get real-time stock prices and market analysis for financial insights.

get_weather

Retrieve weather forecasts and local updates for travel planning.

get_sports_updates

Fetch sports news, game results, and trending sports topics.

search_trending

Discover trending topics and viral content across media brands.

get_travel_alerts

Access travel alerts and flight information for trip planning.

get_financial_news

Retrieve financial news, company updates, and trading signals.

get_lifestyle_content

Find lifestyle content, health tips, and pet care assistance.

Overview

Dappier MCP Server

An MCP server providing real-time web search, stock market insights, and domain-specific AI content recommendations from trusted media brands. Use when an AI agent needs live web, financial market, or curated content data rather than static training knowledge.

What it does

The Dappier MCP Server enables fast, free real-time web search and access to premium data from trusted media brands - news, financial markets, sports, entertainment, weather, and more - for building AI agents. It provides real-time capabilities out of the box, with no training or fine-tuning needed. Real-Time Web Search (model am_01j06ytn18ejftedz6dyhz2b15) searches the live web via Dappier's AI-powered index for breaking news, weather forecasts, travel alerts/flight info, trending topics, and shopping deals - suited to news agents, travel planners, and alert bots. Stock Market Insights (model am_01j749h8pbf7ns8r1bq9s2evrh) delivers real-time stock prices, financial news, trade signals, market movement summaries, and AI-curated analysis using live data from Polygon.io, suited to portfolio dashboards and trading copilots.

When to use - and when NOT to

Use this connector when an AI agent needs live web data, financial market data, or curated recommendations from specific content domains rather than the model's static training knowledge. Several domain-specific recommendation models are available: Sports News (dm_01j0pb465keqmatq9k83dthx34), Lifestyle Updates (dm_01j0q82s4bfjmsqkhs3ywm3x6y), iHeartDogs AI (dm_01j1sz8t3qe6v9g8ad102kvmqn), iHeartCats AI (dm_01j1sza0h7ekhaecys2p3y0vmj), GreenMonster sustainable-living content (dm_01j5xy9w5sf49bm6b1prm80m27), and WISH-TV AI for hyperlocal news/politics/culture/health (dm_01jagy9nqaeer9hxx8z1sk1jx6). Additional model options are browsable in Dappier's marketplace.

Inputs and outputs

Get a Dappier API key by signing up at Dappier's platform. Each content recommendation includes a title and concise summary, original publication date, trusted source/domain, an image preview where available, and a relevance score for prioritization. Advanced options tune the search algorithm (semantic, most_recent, trending, etc.), focus results on a specific domain (ref), and adjust result count (similarity_top_k, num_articles_ref).

Integrations

Install via Smithery for automatic Claude Desktop setup (npx -y @smithery/cli install @DappierAI/dappier-mcp --client claude), or manually: install uv (via curl -LsSf https://astral.sh/uv/install.sh | sh on macOS/Linux, or the PowerShell equivalent on Windows), then configure the server with command: uvx, args: ["dappier-mcp"], and env: { DAPPIER_API_KEY: ... } in Claude Desktop's claude_desktop_config.json, Cursor's mcp.json (global or project-specific under .cursor/), or Windsurf's mcp_config.json. Debug the server with the MCP Inspector via npx @modelcontextprotocol/inspector uvx dappier-mcp.

Who it's for

Developers building AI agents that need live, current information - news, weather, travel, stock market data, or domain-specific content recommendations from trusted media brands - rather than relying on a model's static training data. Because each content model is scoped to a specific domain rather than being one generic search tool, an agent can be pointed at exactly the vertical it needs - sports headlines for a fan companion, pet-care guidance for a veterinary assistant, or hyperlocal news for a regional news bot - without having to filter irrelevant results out of a broad general-purpose feed itself.

Source README

📽️ Watch the Demo Video (Live!)

📌 Click the image below - use Ctrl+Click (or Cmd+Click on Mac) to open in a new tab.

Watch the demo video

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.


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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

FAQ

Common questions

Discussion

Questions & comments · 0

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