Server Network
Technology

MCP Server Development

Model Context Protocol Server Development

Developing MCP servers that enable AI models to safely interact with external tools, databases, and APIs

What is MCP?

Model Context Protocol (MCP) is an open protocol that enables AI models to communicate with external systems in a standardized way.

🔌

Standardized Connection

Consistent interface between AI models and external tools

🔒

Secure Communication

Safe data exchange and permission management

Real-time Interaction

AI queries external data and performs tasks in real time

🧩

Modular

Easy capability extension with independent servers

Architecture

MCP Architecture

🤖

AI Client

Claude Desktop, Claude Code, Custom Apps

Client where the AI model operates
MCP Protocol
Tools
Resources
Prompts
JSON-RPC 2.0 over stdio/SSE
🖥️

MCP Server

Database, APIs, File System, Services

Server connected to external systems
1. AI requests tools/resources 2. MCP server processes 3. Returns results to AI
Tech Stack

Tech Stack

MCP Protocol

JSON-RPC 2.0
Standard communication protocol
stdio/SSE
Transport layer
Tools
Functions callable by AI
Resources
Data readable by AI

Server Stack

TypeScript
Type-safe server development
Python
Data/ML integration
Node.js
Async processing
Go
High-performance server

Integration

Database
PostgreSQL, MySQL, MongoDB
APIs
REST, GraphQL integration
File System
File read/write
Cloud Services
AWS, GCP, Azure

AI Clients

Claude Desktop
Anthropic official client
Claude Code
CLI development tool
Custom Apps
Custom AI applications
IDE Plugins
VS Code, JetBrains
Capabilities

Development Capabilities

We can develop various types of MCP servers

🛠️

Tool Server

Develop servers that provide tools (functions) callable by AI. Delegate various tasks to AI including database queries, API calls, and file processing.

Database Query Tools API Call Tools File System Tools Calculation/Conversion Tools
📚

Resource Server

Provide data resources that AI can reference. Documents, configurations, and context information that AI can read when needed.

Document/Manual Serving Config File Access Real-time Data Feeds Knowledge Base
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Prompt Server

Provide reusable prompt templates. AI can select and use prompts optimized for specific tasks.

Code Review Prompts Document Writing Prompts Analysis Prompts Translation Prompts
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Integration Server

Develop bridge servers connecting external services with AI. Wrap existing systems with MCP interfaces for AI utilization.

Slack/Discord Integration Jira/Notion Integration GitHub Integration CRM System Integration

Use Cases

Extend AI capabilities with MCP servers

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Dev Tools

Code analysis, test execution, deploy automation

📊

Data Analysis

DB queries, report generation, visualization

📝

Document Management

Document search, summarization, auto-writing

🤝

Business Automation

CRM integration, email processing, scheduling

Need an MCP server?

Request custom MCP server development for AI integration.

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