MCP Server
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MCP (Model Context Protocol) is a protocol that standardizes the interaction between AI models and applications. It defines how to exchange data between LLMs/AI models and clients (apps, services).
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What is MCP Server?
MCP Server is a framework for easily creating API servers for AI models. It provides a standardized way for AI models and applications to interact, including defining tools, resources, and supporting streaming.
How to use MCP Server?
Use the provided SDK to create an MCP server instance, define tools (functions), resources (data endpoints), and connect to clients using SSE for real-time data streaming. Refer to the examples in the README for creating servers, adding tools/resources, and establishing SSE connections.
Key features of MCP Server
Tool definition (Function Calling)
Resource definition (Data endpoints)
SSE support (Real-time data streaming)
Standardized AI model interaction
Easy API server creation
Use cases of MCP Server
Connecting LLMs to applications
Building microservices with AI capabilities
Supporting Function Calling for AI models
Alternative or complement to AI frameworks like LangChain
Developing AI-powered interactive applications
FAQ from MCP Server
What is MCP?
What is MCP?
MCP (Model Context Protocol) is a protocol for standardizing interaction between AI models and applications.
What are MCP Tools?
What are MCP Tools?
MCP Tools are functions that AI models can use, similar to Function Calling.
What are MCP Resources?
What are MCP Resources?
MCP Resources are specific data that clients can retrieve, based on URL patterns.
What is SSE support in MCP?
What is SSE support in MCP?
MCP supports SSE (Server-Sent Events) for real-time data transmission, useful for streaming LLM responses.
Where can MCP be used?
Where can MCP be used?
MCP can be used to connect LLMs to applications, build AI microservices, support Function Calling, and develop AI-powered interactive applications.