Firstcycling MCP
An unofficial Python API wrapper for accessing cycling race data on firstcycling.com, supporting queries for race, rider, and ranking information.
rating : 2.5 points
downloads : 21
What is the MCP server?
The MCP server is a tool designed specifically for large-scale language models. It can help you manage and optimize the model's context processing capabilities. Through the MCP server, you can easily load, store, and manipulate the context data required by the model.How to use the MCP server?
Using the MCP server is very simple. You can complete the loading and operation of context data in just a few steps. First, install the MCP server software, then configure the parameters as needed, and finally start the service and start using it.Applicable scenarios
The MCP server is suitable for application scenarios that need to process large amounts of text data, such as natural language processing, dialogue systems, and knowledge graph construction.Main features
Context loadingSupports loading context data in multiple formats, including JSON and YAML.
Context storageSave the processed context data to local or remote storage.
Context operationProvides a rich set of API interfaces to facilitate operations such as adding, deleting, modifying, and querying the context.
Advantages and limitations
Advantages
Efficient context management capabilities
Supports multiple data formats and storage methods
Easy to integrate into existing systems
Limitations
Requires certain hardware resources
Complex initial configuration may require technical support
How to use
Install the MCP server
Download and install the MCP server software, and ensure that the system meets the minimum hardware requirements.
Configure parameters
Edit the configuration file and set the storage path and other necessary parameters.
Start the service
Run the command to start the MCP server and listen for requests.
Usage examples
Load context dataDemonstrate how to load context data from a file.
Save context dataDemonstrate how to save the processed context data to a file.
Frequently Asked Questions
Does the MCP server support multi-user access?
How to solve the problem of context loading failure?
Related resources
Official documentation
Detailed user manuals and technical documents.
GitHub code repository
Open source code and community support.
Video tutorial
Quick start video.
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