Server Hub

A production-ready MCP (Model Context Protocol) server suite for AI agent tool integration. Provides five composable tool modules — code analysis, web scraping, file operations, API integration, and data transformation — accessible via any MCP-compatible client.

                    ┌─────────────────────────────────────┐
                    │          MCP Client (AI Agent)       │
                    │  (Claude Code, Cursor, VS Code, etc) │
                    └───────────────┬─────────────────────┘
                                    │  JSON-RPC over stdio
                                    ▼
              ┌─────────────────────────────────────────┐
              │           MCP Server Hub                │
              │  ┌───────────────────────────────────┐  │
              │  │         Server Core              │  │
              │  │  ┌────────────┬──────────────┐   │  │
              │  │  │ Tool Router│  Validator   │   │  │
              │  │  │ (Zod)      │  (JSON-RPC)  │   │  │
              │  │  └─────┬──────┴──────┬───────┘   │  │
              │  └────────┼─────────────┼────────────┘  │
              │           │             │               │
              │     ┌─────┴─────────────┴──────┐        │
              │     │    Tool Registry         │        │
              │     │  ┌─────┬─────┬─────┬────┴──┐     │
              │     │  │ CA  │ WS  │ FO  │ AI │ DT │     │
              │     │  └──┬──┴──┬──┴──┬──┴──┬──┴──┘     │
              │     └─────┼─────┼─────┼─────┼────────┘   │
              └───────────┼─────┼─────┼─────┼────────────┘
                          │     │     │     │
                  ┌───────┘     │     │     └───────────┐
                  ▼             ▼     ▼                  ▼
          ┌────────────┐ ┌──────────┐ ┌────────┐ ┌──────────────┐
          │ Code       │ │ Web      │ │ File   │ │ API          │
          │ Analyzer   │ │ Scraper  │ │ Ops    │ │ Integration  │
          └────────────┘ └──────────┘ └────────┘ └──────────────┘

                                          ┌────────────────────┐
                                          │ Data Transformer   │
                                          │ JSON / CSV / YAML  │
                                          └────────────────────┘

Legend: CA=CodeAnalyzer  WS=WebScraper  FO=FileOperations
        AI=ApiIntegration  DT=DataTransformer

Architecture

The server implements the Model Context Protocol using the official @modelcontextprotocol/sdk. Communication happens over stdio using JSON-RPC 2.0 message format.

Layers

Layer	Description
Transport	StdioServerTransport — stdin/stdout JSON-RPC
Server Core	Request routing, lifecycle, error boundaries
Tool Registry	Tool definitions, Zod validation, handler dispatch
Tool Modules	Five isolated domain modules with single responsibility
Logger	Structured console logging with severity levels

Tool Modules

Tool	Description	Input
analyze_code	JS/TS source analysis — issues, complexity, metrics, patterns	Source code string, language, analysis type
scrape_webpage	Web content extraction — text, headings, links, metadata	URL, extraction options
execute_file_operations	File system ops — read, write, delete, list, search	Operations array, root directory
call_api	HTTP requests — any method, headers, params, body	URL, method, headers, body
transform_data	Data format conversion — JSON, CSV, YAML with validation	Input string, source/target formats, schema

Tech Stack

• Runtime: Node.js ≥18
• Language: TypeScript 5.4+ (strict mode)
• Protocol: MCP SDK @modelcontextprotocol/sdk (open source)
• Validation: Zod 3.23+
• HTTP: Axios 1.7+
• Data: js-yaml, csv-parse, csv-stringify

Installation

# Clone
git clone https://github.com/your-org/mcp-server-hub.git
cd mcp-server-hub

# Install dependencies
npm install

# Build
npm run build

# Start
npm start

Development

# Watch mode
npm run dev

# Type check only
npm run lint

# Inspect with MCP Inspector
npm run inspect

Usage

As a standalone server

npm start

The server listens on stdin/stdout and accepts JSON-RPC 2.0 messages.

Example: List tools

{"jsonrpc":"2.0","id":1,"method":"tools/list"}

Example: Call analyze_code

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "analyze_code",
    "arguments": {
      "code": "function add(a,b){return a+b}",
      "language": "typescript"
    }
  }
}

Integration with AI Agents

This server works with any MCP-compatible client:

• Claude Code: Add to ~/.claude/settings.json
• Cursor: Add to Cursor MCP settings
• Custom agents: Connect via child_process with stdio transport

Claude Code configuration

{
  "mcpServers": {
    "mcp-server-hub": {
      "command": "node",
      "args": ["path/to/mcp-server-hub/dist/index.js"]
    }
  }
}

Environment Variables

Variable	Default	Description
PORT	3000	Server port (reserved)
NODE_ENV	development	Environment mode
LOG_LEVEL	info	Logging level (debug/info/warn/error)
SCRAPER_USER_AGENT	MCP-Server-Hub/1.0	User agent for web scraping
SCRAPER_TIMEOUT_MS	10000	Scraper request timeout
API_DEFAULT_TIMEOUT_MS	15000	API request timeout

Security

• File operations enforce path traversal protection — all paths are resolved relative to a configurable root directory
• API responses redact sensitive headers (Authorization, Cookie, API keys)
• All inputs validated through Zod schemas before reaching handlers
• Web scraper respects max redirects and status code boundaries
• No secrets hardcoded — use .env file or environment variables

Project Structure

src/
├── index.ts                   # Server entry, tool routing, MCP init
├── types.ts                   # All TypeScript type definitions
├── logger.ts                  # Structured logging utility
└── tools/
    ├── validation.ts          # Zod schemas for all tool inputs
    ├── code-analyzer.ts       # Code analysis tool module
    ├── web-scraper.ts         # Web scraping tool module
    ├── file-operations.ts     # File operations tool module
    ├── api-integration.ts     # API integration tool module
    └── data-transformer.ts    # Data transformation tool module

License

MIT — see LICENSE.

Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit (git commit -m 'feat: add amazing feature')
4. Push (git push origin feature/amazing-feature)
5. Open a Pull Request