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Building a Sports-Themed MCP Server Using .NET
- The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large-Language Models (LLMs) by connecting AI models to different data sources and tools.
- MCP follows a client-server architecture where hosts act as clients maintaining connections to MCP Servers that expose capabilities through the MCP Protocol.
- MCP supports two transport mechanisms: Stdio transport for local processes and HTTP with SSE transport for server-to-client messages using JSON-RPC 2.0.
- Resources in MCP allow servers to expose various data types like file contents, API responses, and images, which can be used as context for LLM interactions.
- Prompts in MCP enable the definition of reusable prompt templates and workflows for users and LLMs, providing a standardized way of interacting with LLMs.
- Tools in MCP allow LLMs to interact with external systems, perform computations, and take actions through the server, ranging from simple calculations to complex API interactions.
- Building an MCP server involves creating tools that connect to APIs, setting up the server using .NET CLI, adding necessary NuGet packages, and configuring the server with tools.
- Testing the MCP server involves running it with the .NET CLI, configuring clients like Claude Desktop, creating interactions with MCP tools, and receiving responses based on the tools' functionalities.
- MCP servers can provide detailed information and responses to prompts, showcasing the flexibility and power of building servers for LLM interactions.
- MCP offers a structured way to enhance LLM interactions, enabling users to perform various tasks using tools, resources, and prompts within an MCP server.
- Building and testing an MCP server provides insights into leveraging MCP for contextualizing LLM interactions, facilitating more nuanced and powerful applications.
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