MCP Server - Model Context Protocol

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.