Mcp Server
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About Mcp Server
practice mcp server with typescript(GPT 내용)
Config
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RepositoryTools
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Overview
What is Mcp Server?
Mcp Server is the official reference implementation of the Model Context Protocol (MCP), providing a standardized way for AI models and applications to communicate. It allows developers to create servers that expose tools (functions) and resources (data) to AI clients, enabling seamless integration with large language models.
How to use Mcp Server?
Install the SDK and create a server instance using new McpServer({ name, version }). Add AI‑callable tools with server.tool(name, schema, handler) and resources with server.resource(name, template, handler). Connect the server to a client via SSE (Server‑Sent Events) using SSEServerTransport.
Key features of Mcp Server
- Define custom tools for AI model function calling
- Serve dynamic resources using URI pattern templates
- Support real‑time data streaming via SSE transport
- Standardised communication between LLMs and applications
- Lightweight TypeScript SDK with Zod schema validation
Use cases of Mcp Server
- Building API servers that connect LLMs to external data or actions
- Creating microservices that expose AI‑enabled functionalities
- Developing conversational applications with tool and resource access
- Replacing or supplementing LangChain for tool‑based AI interactions
FAQ from Mcp Server
What is the difference between Mcp Server and other AI frameworks?
Mcp Server is the official implementation of the Model Context Protocol, designed to standardise AI‑to‑application communication. It offers tool, resource, and streaming features similar to Function Calling or LangChain, but as a protocol‑first solution.
What runtime does Mcp Server require?
Mcp Server is built with TypeScript and the MCP SDK. You need a Node.js environment and npm/yarn to install the @modelcontextprotocol/sdk package.
Where are the server’s tools and resources defined?
They are defined directly in your server code using server.tool() and server.resource() methods. Data lives on the server side, managed by your implementation.
Which transport protocols does Mcp Server support?
The README demonstrates SSE (Server‑Sent Events) for real‑time communication. Clients connect to an /sse endpoint to receive streaming responses.
Is authentication or authorisation included?
The README does not mention any built‑in authentication or authorisation mechanisms. These would need to be implemented separately.
Frequently asked questions
What is the difference between Mcp Server and other AI frameworks?
Mcp Server is the official implementation of the Model Context Protocol, designed to standardise AI‑to‑application communication. It offers tool, resource, and streaming features similar to Function Calling or LangChain, but as a protocol‑first solution.
What runtime does Mcp Server require?
Mcp Server is built with TypeScript and the MCP SDK. You need a Node.js environment and npm/yarn to install the `@modelcontextprotocol/sdk` package.
Where are the server’s tools and resources defined?
They are defined directly in your server code using `server.tool()` and `server.resource()` methods. Data lives on the server side, managed by your implementation.
Which transport protocols does Mcp Server support?
The README demonstrates SSE (Server‑Sent Events) for real‑time communication. Clients connect to an `/sse` endpoint to receive streaming responses.
Is authentication or authorisation included?
The README does not mention any built‑in authentication or authorisation mechanisms. These would need to be implemented separately.
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