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MCP Implementation

@AshikNesin

Repository

Basic information

Category

Other

License

MIT

Transports

stdio

Author

AshikNesin

About MCP Implementation

Learn MCP by building from Scarch

#mcp#learning-by-doing#learn-in-public#mcp-server#mcp-client

MCP Implementation config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "learn-mcp-by-building": {
      "command": "node",
      "args": [
        "src/examples/stdio-server.js"
      ]
    }
  }
}

MCP Implementation tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Model Context Protocol (MCP) Implementation?

This project implements the Model Context Protocol (MCP) for building AI tools. It provides a modular framework that can be used to create MCP-compatible servers and clients, enabling AI assistants to interact with external tools and data sources.

How to use Model Context Protocol (MCP) Implementation?

Install Node.js 20.x or later, clone the repository, run npm install, then use provided scripts like npm run server:stdio and npm run client:stdio to run examples. Developers can create custom servers using the McpServer class and register tools with JSON Schema definitions.

Key features of Model Context Protocol (MCP) Implementation

  • JSON-RPC 2.0 message handling and protocol initialization
  • Tool registration with JSON Schema and invocation
  • STDIO and HTTP+SSE transport support
  • Capability negotiation and tool list change notifications
  • Standardized error handling and structured tool results
  • Example calculator tool and test clients

Use cases of Model Context Protocol (MCP) Implementation

  • Build an MCP-compatible server exposing a calculator tool via STDIO
  • Serve AI tools over HTTP with Server-Sent Events for web clients
  • Debug and test MCP server behavior using the official MCP Inspector
  • Develop custom tools and integrate them into AI assistant workflows

Frequently asked questions

1

What is the Model Context Protocol?

It is an open protocol that enables AI assistants to interact with external tools and data sources.

2

What are the runtime requirements?

Node.js 20.x or later and npm or pnpm.

3

What transports are supported?

STDIO and HTTP+SSE (Server-Sent Events) are supported.

4

How do I create a new tool?

Create a new file in `src/tools/`, define the tool definition with `inputSchema` and a handler function, then export it in `src/tools/index.js`.

5

Where can I find the protocol specification?

The MCP Protocol Specification is available at https://spec.modelcontextprotocol.io/specification/2024-11-05/.

Comments

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