by DappierAI
Dappier MCP Server enables fast, free, real-time web search and access to premium data from trusted media brands, allowing users to build powerful AI agents by connecting Large Language Models (LLMs) to real-time, rights-cleared, and proprietary data sources.
Dappier MCP Server is a project that enables fast, free, real-time web search and access to premium data from trusted media brands. It allows users to build powerful AI agents by connecting Large Language Models (LLMs) to real-time, rights-cleared, and proprietary data sources. This includes specialized models for real-time web search, news, sports, financial data, crypto, and premium publisher content.
To use Dappier MCP Server, you first need to obtain a Dappier API Key from the Dappier platform. The server can be installed via Smithery for Claude Desktop or directly using uv (a Python package installer). Once installed, you configure your AI application (like Claude Desktop, Cursor, or Windsurf) by updating its configuration file with the Dappier MCP server details, including the command to run dappier-mcp and your API key. The project provides detailed instructions and configuration examples for each supported application.
am_01j06ytn18ejftedz6dyhz2b15am_01j749h8pbf7ns8r1bq9s2evrhOffers several domain-specific AI models for content discovery, summarization, and feed generation, including:
dm_01j0pb465keqmatq9k83dthx34 (real-time sports headlines, game recaps, expert analysis)dm_01j0q82s4bfjmsqkhs3ywm3x6y (curated lifestyle content)dm_01j1sz8t3qe6v9g8ad102kvmqn (dog care assistant)dm_01j1sza0h7ekhaecys2p3y0vmj (feline expert AI)dm_01j5xy9w5sf49bm6b1prm80m27 (sustainable lifestyle ideas)dm_01jagy9nqaeer9hxx8z1sk1jx6 (hyperlocal news)Each recommendation includes a title, summary, publication date, source, image preview, and relevance score. Advanced options allow tuning search algorithms and focusing results.
Q: How do I get a Dappier API Key? A: Head to Dappier to sign up and generate an API key.
Q: What is uv and why do I need it?
A: uv is a fast Python package installer. It is recommended for installing dappier-mcp.
Q: Where can I find the configuration file for my AI application (e.g., Claude Desktop, Cursor, Windsurf)? A: The project README provides specific paths for macOS and Windows for each application, along with instructions on how to access them through the application interface.
Q: What if the Developer tab is not visible in Claude Desktop?
A: Ensure you are using the latest version of Claude Desktop.
Q: How can I debug the Dappier MCP server?
A: You can run the MCP inspector using npx @modelcontextprotocol/inspector uvx dappier-mcp.
Q: How can I contribute to the Dappier MCP Server project? A: Contributions are welcome! You can add new search capabilities, enhance existing functionality, or improve documentation. Pull requests are encouraged, and you can find examples of other MCP servers at https://github.com/modelcontextprotocol/servers.
📌 Click the image below — use Ctrl+Click (or Cmd+Click on Mac) to open in a new tab.
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.
Get Dappier API Key. Head to Dappier to sign up and generate an API key.
To install dappier-mcp for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @DappierAI/dappier-mcp --client claude
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"
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
uvxexecutable in thecommandfield. You can obtain this by runningwhich uvxon macOS/Linux orwhere uvxon Windows.
Configuration file location:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonAccessing via application:
Claude > Settings.Developer tab.Edit Config to open the configuration file in your default text editor.Settings.Developer tab.Edit Config to open the configuration file in your default text editor.Note: If the
Developertab is not visible, ensure you're using the latest version of Claude Desktop.
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
uvxexecutable in thecommandfield. You can obtain this by runningwhich uvxon macOS/Linux orwhere uvxon Windows.
Configuration file location:
~/.cursor/mcp.json%USERPROFILE%\.cursor\mcp.jsonmcp.json file inside the .cursor directory within your project folder: <project-root>/.cursor/mcp.jsonAccessing via application:
Settings > MCP.Add New Global MCP Server.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.
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
uvxexecutable in thecommandfield. You can obtain this by runningwhich uvxon macOS/Linux orwhere uvxon Windows.
Configuration file location:
~/.codeium/windsurf/mcp_config.json%USERPROFILE%\.codeium\windsurf\mcp_config.jsonAccessing via application:
Settings > Cascade.Model Context Protocol (MCP) Servers section.View raw config to open the mcp_config.json file in your default text editor.Note: After editing the configuration file, click the
Refreshbutton in the MCP Servers section to apply the changes.
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.
Model ID: am_01j06ytn18ejftedz6dyhz2b15
Search the live web using Dappier’s AI-powered index. Get real-time access to:
Ideal for use cases like news agents, travel planners, alert bots, and more.
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:
Choose from several domain-specific AI models tailored for content discovery, summarization, and feed generation.
Model ID: dm_01j0pb465keqmatq9k83dthx34
Stay updated with real-time sports headlines, game recaps, and expert analysis.
Model ID: dm_01j0q82s4bfjmsqkhs3ywm3x6y
Explore curated lifestyle content — covering wellness, entertainment, and everyday inspiration.
Model ID: dm_01j1sz8t3qe6v9g8ad102kvmqn
Your intelligent dog care assistant — access training tips, health advice, and behavior insights.
Model ID: dm_01j1sza0h7ekhaecys2p3y0vmj
An expert AI for all things feline — from nutrition to playtime to grooming routines.
Model ID: dm_01j5xy9w5sf49bm6b1prm80m27
Discover sustainable lifestyle ideas, ethical choices, and green innovations.
Model ID: dm_01jagy9nqaeer9hxx8z1sk1jx6
Tap into hyperlocal news, politics, culture, health, and multicultural updates.
Each recommendation includes:
Advanced options let you:
semantic, most_recent, trending, etc.)ref)similarity_top_k, num_articles_ref)Run the MCP inspector to debug the server:
npx @modelcontextprotocol/inspector uvx dappier-mcp
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.
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