Create a Node.js MCP server to query Untappd API for beer search and info retrieval
The Untappd Model Context Protocol (MCP) server is a specialized node.js-based service designed to facilitate interactions with the Untappd API, enabling various AI applications like Claude Desktop, Continue, Cursor, and others to access and utilize beer-related data. Given that Unattpd no longer accepts new API keys, this server offers a practical solution for those needing to engage with Untappd’s extensive database of beers through an MCP-compliant interface.
The core features of the Untappd MCP Server are designed around three primary operations:
beer_id
obtained from the search_beer
operation, this service provides detailed information about an individual beer, including its name, style, brewery, and more.These capabilities are essential for enhancing AI applications that require beverage-related data integration, thereby providing a robust foundation for developing sophisticated use cases within the realm of AI workflows.
The architecture of the Untappd MCP Server is built around a clean and modular design to ensure seamless interaction with AI client applications. Key aspects include:
The implementation relies on these key technologies:
To start using this Untappd MCP Server, follow these steps for a seamless setup:
npm install
npm run build
npm run watch
By integrating the search_beer
tool into an AI application, such as a virtual bartender or recommendation engine, users can receive real-time beer recommendations based on their preferences. This feature leverages natural language processing (NLP) and machine learning algorithms to filter and sort through thousands of beers.
For applications focused on user experience and community engagement, the get_user_checkins
tool can provide detailed insights into a user's activity across Untappd. With this data, AI applications can tailor content, offers, or notifications that are specifically relevant to individual users.
The Untappd MCP Server is fully compatible with several MCP clients, including Claude Desktop, Continue, and Cursor. Below, we present the compatibility matrix and provide an example configuration for seamless integration:
MCP Client | Resources | Tools | Prompts |
---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ |
Continue (by Stability AI) | ✅ | ✅ | ✅ |
Cursor API | ❌ | ✅ | ❌ |
Add the server configuration to your MCP client's config.json
or equivalent file:
{
"mcpServers": {
"untappd-server": {
"command": "/path/to/untappd-server/build/index.js",
"env": {
"API_KEY": "your-api-key"
}
}
}
}
Replace /path/to/untappd-server/build/index.js
with the actual path to the server’s build directory on your system, and your-api-key
with a valid API key obtained from Untappd.
The performance of the Untappd MCP Server is closely tied to its ability to efficiently communicate with the Untappd API. While standard operations like search and detailed retrieval are designed for high throughput, the get_user_checkins
tool currently faces limitations due to API constraints.
For developers looking to enhance the functionality and security of their MCP server setup:
get_user_checkins
tool currently may not function as expected due to limitations with the Unattpd API.Contributions are welcome from the community. To contribute, follow these steps:
For further information and resources about MCP servers, visit the official Model Context Protocol documentation and explore the community-driven projects that contribute to its development.
By implementing this Untappd MCP Server, developers can significantly enhance their AI applications with powerful data integration capabilities, providing a richer user experience through seamless API access.
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