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MCP 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

Related MCP server: ToolCenter MCP

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

A
license - permissive license
-
quality - not tested
-
maintenance - not tested

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