NHL Stats
A TypeScript implementation of the NHL API, adopting the Model - Context Protocol (MCP) mode, providing access to team, player, ranking, schedule, and statistical data.
2.5 points
9.3K

What is the NHL MCP Server?

The NHL MCP Server is a tool based on the Model Context Protocol (MCP) for accessing and managing data provided by the official NHL API. It supports functions such as retrieving team, player, game schedule, real - time scores, and season statistics.

How to Use the NHL MCP Server?

Through simple configuration and API calls, you can easily obtain various NHL - related data. You can start using it in just a few steps.

Application Scenarios

Suitable for fields such as sports data analysis, fan communities, news media, and game development.

Main Features

Team Information
Get complete information about each NHL team, including team history, player rosters, and statistics.
Real - Time Game Data
View the status, scores, and player performances of currently ongoing games.
Season Statistics
Analyze the performances of teams and individual players during the season.
Historical Data
Review the game results and player records of past seasons.
Personalized Recommendations
Generate personalized team and player recommendations based on user interests.
Advantages
Comprehensively covers NHL data and can be used without complex settings.
Supports adaptation to multiple languages and time zones.
Fast response and stable performance.
Limitations
Requires an API key to use.
Some advanced features may not be very friendly to beginners.
Historical data queries may be affected by delays.

How to Use

Installation and Configuration
Clone the repository and install the dependencies.
Configure the API Key
Copy the.env.example file and fill in your API key.
Start the Server
Run the development server to start using.

Usage Examples

Get Information about the Boston Bruins
An example query for detailed information about the Boston Bruins.
View the Current Game Status
View the status of ongoing games in real - time.

Frequently Asked Questions

How to get an API key?
Which platforms does the server support?
How to handle the delay issue of historical data?

Related Resources

NHL Official Website
Visit the official NHL website for more information.
GitHub Project Homepage
View the project source code and documentation.
User Manual
Online user manual.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
6.2K
5 points
M
Maverick MCP
MaverickMCP is a personal stock analysis server based on FastMCP 2.0, providing professional level financial data analysis, technical indicator calculation, and investment portfolio optimization tools for MCP clients such as Claude Desktop. It comes pre-set with 520 S&P 500 stock data, supports multiple technical analysis strategies and parallel processing, and can run locally without complex authentication.
Python
10.1K
4 points
K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
17.7K
5 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
11.9K
5 points
A
Apple Health MCP
An MCP server for querying Apple Health data via SQL, implemented based on DuckDB for efficient analysis, supporting natural language queries and automatic report generation.
TypeScript
11.4K
4.5 points
M
MCP Server Airbnb
Certified
MCP service for Airbnb listing search and details query
TypeScript
15.8K
4 points
V
Video Editing MCP
Video Editor MCP is a video editing server that provides video upload, search, generation, and editing functions, supporting operations through the LLM and Video Jungle platforms.
Python
16.1K
4 points
B
Bilibili MCP Js
Certified
A Bilibili video search server based on the Model Context Protocol (MCP), providing API interfaces to support video content search, paginated queries, and video information return, including LangChain call examples and test scripts.
TypeScript
19.2K
4.2 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.9K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
20.6K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
63.0K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
31.2K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
58.4K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
27.0K
5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
42.2K
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
86.6K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase