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MCP-Server

MCP-Server

by aksajax
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

🏗️ Core Architecture & Terminology

MCP system me 3 main components hote hain:

Component

Responsibility

Examples

MCP Host

Wo AI application jo user se interact karti hai aur MCP connections ko initiate karti hai.

Claude Desktop, Cursor IDE, VS Code, AI Chatbots

MCP Client

MCP Host ke andar ka module jo MCP Server ke sath 1-to-1 connection maintain karta hai.

Internal client connection protocol

MCP Server

Ek lightweight application jo specific capabilities, data, ya tools expose karti hai.

GitHub MCP Server, Postgres MCP Server, Brave Search Server

Related MCP server: MCP Documentation Server

🧩 Key Building Blocks: Tools, Resources & Prompts

MCP Servers teen mukhya cheezein AI model ko provide karte hain:

  • Resources: Read-only data sources jo context provide karte hain (e.g., local files, database records, API logs, system status).

  • Tools: Actionable functions jo LLM execution ke waqt trigger kar sakta hai (e.g., “Create a Github Issue”, “Send an Email”, “Run SQL Query”).

  • Prompts: Pre-defined templates ya workflows jo complex tasks ko repeatably trigger karte hain (e.g., code review workflow, database schema generator).

🔄 How "Build, Connect, Deploy" Works

  1. Build: Aap Python ya TypeScript/Node.js SDK ka use karke ek custom MCP Server banate hain jo aapke private API ya database se connect hota hai.

  2. Connect: MCP Host (jaise Cursor ya Claude Desktop) ke configuration JSON file (claude_desktop_config.json) me aap apne MCP Server ka path ya command register karte hain.

  3. Deploy: STDIO (local) ya SSE (Server-Sent Events / Remote over HTTP) transport channel ke zariye MCP Client aur Server aapas me secure communication karte hain.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

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    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

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    Resources

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