What is the Model Context Protocol (MCP)?
MCP is an open protocol that standardizes how applications provide context to LLMs, enabling connections to data sources, tools, and prompts.
@RobertEichenseer
Basic information
MCP Server (Resources, Tools, Prompts)
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP Server is a simplified C# implementation of the Model Context Protocol (MCP) server that provides Tools, Resources, and Prompts for sports information. It is designed to be launched by a host application via standard I/O (stdio) and to enhance LLM/SLM interactions with contextual data.
The MCP server is started by a host application using dotnet run with the project path and configured via StdioClientTransportOptions. The host creates an IMcpClient using McpClientFactory.CreateAsync, then lists available tools, prompts, and resources. To use the server’s functionality, the host calls tools like RetrieveWinner, requests prompts like CreateMatchSummaryPrompt, or reads resources, optionally subscribing to resource updates.
MCP is an open protocol that standardizes how applications provide context to LLMs, enabling connections to data sources, tools, and prompts.
It provides Tools (executable functions), Resources (data for grounding), and Prompts (template messages) for sports-related content.
The host launches the server via stdio (`dotnet run`) and uses the `ModelContextProtocol` NuGet package to create a client and exchange messages.
The server is a C# .NET project. The sample host also requires an Azure OpenAI instance with a deployed GPT-4 model for full demo functionality.
Yes, the application can start and interact with multiple MCP servers simultaneously, each providing distinct resources, tools, and prompts.
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