MCP Server - Model Context Protocol
@maithanhduyan
MCP Server - Model Context Protocol について
MCP Server
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-server-maithanhduyan": {
"command": "docker",
"args": [
"build",
"-t",
"mcp-time-server",
"."
]
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is MCP Server - Model Context Protocol?
Model Context Protocol (MCP) Server is an open protocol developed by Anthropic that standardizes how AI models interact with external data sources and tools. It acts as a bridge between AI models and various services, databases, and APIs, providing tools, resources, and prompts via JSON‑RPC 2.0 over WebSocket or stdio.
How to use MCP Server - Model Context Protocol?
Install the SDK (pip install mcp for Python, npm install @modelcontextprotocol/sdk for Node.js/TypeScript), then create a server implementing tool handlers. Configure a client by adding a mcpServers entry in a JSON file with the command and arguments. Test with a simple stdio command like echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | python mcp_server.py.
Key features of MCP Server - Model Context Protocol
- Standardized protocol for AI integrations (JSON‑RPC 2.0)
- Supports multiple transports: stdio and WebSocket
- Provides tools, resources, and prompts to AI models
- Includes sample implementations: Python, TypeScript, Node.js
- Offers a pre‑built MCP Time Server for timezone operations
- Integrates with databases, external APIs, and file systems
Use cases of MCP Server - Model Context Protocol
- Business Intelligence: Automate sales reports by querying databases
- Customer Support: Let AI chatbots look up order status and update tickets
- Content Management: Auto‑publish blog posts and update CMS via AI
- DevOps & Monitoring: Check server health and deploy applications
- E‑commerce Integration: Manage inventory, orders, and customer service
FAQ from MCP Server - Model Context Protocol
What is MCP and who created it?
MCP (Model Context Protocol) is an open protocol developed by Anthropic to standardize interactions between AI models and external data/tools.
What runtimes and languages are supported?
The README provides SDKs and examples for Python (pip install mcp) and Node.js/TypeScript (npm install @modelcontextprotocol/sdk).
How do I configure a client to connect to an MCP server?
Add a mcpServers entry in a JSON configuration file with the command and arguments to launch the server (e.g., "command": "python", "args": ["path/to/server.py"]).
What transport mechanisms are available?
MCP supports communication via stdio (standard input/output) and WebSocket connections between AI applications (clients) and MCP servers.
Is there a sample server included in the repository?
Yes, the repository contains a Node.js MCP Time Server (mcp-time-node/) that provides get_current_time and convert_time tools with full IANA timezone support.
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