Sleeper Scraper MCP
S

Sleeper Scraper MCP

The Sleeper API MCP server is a Model Context Protocol service that provides access to data on the Sleeper fantasy football platform. It supports functions such as getting user information, league data, draft details, and player information, and can access read-only data without an API key.
2.5 points
0

What is Sleeper API MCP?

Sleeper API MCP is a Model Context Protocol server specifically designed for the Sleeper fantasy football platform. It allows users to access various data on the Sleeper platform through a simple interface, including user information, league details, team rosters, game matchups, player data, etc. This server is particularly suitable for players who want to analyze and monitor the performance of their fantasy football leagues.

How to use Sleeper API MCP?

Using Sleeper API MCP is very simple. First, install the necessary dependency packages, then configure the MCP server, and finally connect to the server through a supported client (such as Cursor). Once the connection is successful, you can use various tools to query and analyze the data on the Sleeper platform.

Applicable scenarios

Sleeper API MCP is very suitable for the following scenarios: analyzing the performance of your own or your opponents' teams, tracking player trends and popularity, monitoring league transactions and drafts, generating league reports and statistics, and providing data support for fantasy football decisions.

Main Features

User Data Access
Get basic user information, all participating leagues and draft information. Support querying by username or user ID.
Comprehensive League Data Coverage
Provide complete league information, including rosters, user lists, game matchups, playoff brackets, transaction records, etc.
Draft Data Details
Access draft information and all draft selections, including traded draft picks, to help analyze draft strategies.
Player Data Statistics
Get information on all players and data on trending players. Identify outstanding players based on add/drop activities.
No API Key Required
The Sleeper API is read-only and does not require a complex API key application and verification process.
Advantages
Rich and comprehensive data: Covers all core data on the Sleeper platform
Easy to use: Simple configuration without complex settings
Free to use: No API key is required and it is completely free
Real-time data: Provides the latest player trends and league information
Flexible query: Supports a variety of query conditions and parameter combinations
Limitations
Read-only access: Can only read data and cannot perform write operations
Rate limit: A maximum of 1000 API calls per minute
Network-dependent: Requires a stable network connection
Data latency: There may be a slight data synchronization delay

How to Use

Install Dependencies
First, you need to install the necessary Python dependency packages.
Configure the MCP Server
Add the MCP server settings to Cursor's configuration file.
Start the Server
Start the MCP server using the command line.
Start Querying Data
Start querying Sleeper data through a supported client tool.

Usage Examples

Analyze Personal League Performance
Analyze your performance and rankings in different leagues by getting all league information of a user.
Monitor Trending Player Trends
Track the most popular added players in the last 24 hours to help make roster adjustment decisions.
In - depth League Analysis
Comprehensively analyze the roster, transaction and game data of a specific league and generate a league report.

Frequently Asked Questions

Do I need to apply for an API key?
What are the rate limits?
What sport types are supported?
How often is the data updated?
Is it free?

Related Resources

Sleeper API Official Documentation
The official API documentation of the Sleeper platform, containing detailed interface descriptions and examples.
Model Context Protocol Official Website
The official website of the Model Context Protocol. Learn about the concepts and specifications of MCP.
MCP and LLMs Integration Guide
A detailed guide on how to integrate MCP with large - language models.
GitHub Code Repository
The source code and update log of the Sleeper API MCP server.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "sleeper": {
      "command": "python server.py"
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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