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Mcp Helper Tools

Mcp Helper Tools

Local
github.com/MissionSquadDeveloper Tools3Updated 84w ago

About Mcp Helper Tools

Mcp Helper Tools is an MCP server for LLM agents, offering encoding, geolocation, cryptographic, and QR-code utilities. This fork adds encoding functions and removes system network functions.

Key features

  1. 01Base64, URL, and HTML encoding
  2. 02IP geolocation
  3. 03Hash generation and comparison
  4. 04UUID generation
  5. 05QR code generation

Use cases

  1. 01Convert Base64, URL, or HTML content
  2. 02Look up an IP's location
  3. 03Generate and compare data hashes
  4. 04Create QR codes or UUIDs

MCP support

The server exposes encoding, geolocation, security, and generator tools to MCP clients for use by LLM agents.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

mcp-helper-tools

based on toolkit-mcp-server

TypeScript Model Context Protocol Version License Status GitHub

A Model Context Protocol server providing LLM Agents with system utilities and tools, including IP geolocation, network diagnostics, system monitoring, cryptographic operations, and QR code generation.

Model Context Protocol

The Model Context Protocol (MCP) enables communication between:

  • Clients: Claude Desktop, IDEs, and other MCP-compatible clients
  • Servers: Tools and resources for task management and automation
  • LLM Agents: AI models that leverage the server's capabilities

Table of Contents

Features

Encoding Tools
  • Base64 encoding/decoding
  • URL encoding/decoding
  • HTML encoding/decoding
Network & Geolocation
  • IP geolocation with intelligent caching
  • Rate limiting (45 requests/minute)
Security Tools
  • Cryptographic hash generation (MD5, SHA-1, SHA-256, SHA-512)
  • Constant-time hash comparison
  • UUID generation
Generator Tools
  • QR code generation
    • Terminal output
    • SVG format
    • Base64 encoded images

Installation

# Using npm (recommended)
npm install @cyanheads/toolkit-mcp-server

# Or install from source
git clone [email protected]:cyanheads/toolkit-mcp-server.git
cd toolkit-mcp-server
npm install
npm run build

Configuration

Add to your MCP client settings:

{
  "mcpServers": {
    "toolkit": {
      "command": "node",
      "args": ["node_modules/@cyanheads/toolkit-mcp-server/build/index.js"],
      "env": {
        "NODE_ENV": "production"
      }
    }
  }
}

Tools

Network Operations
// Get geolocation data
const geo = await mcp.use('toolkit-mcp-server', 'geolocate', {
  query: '8.8.8.8'
});

// Check connectivity
const conn = await mcp.use('toolkit-mcp-server', 'checkConnectivity', {
  host: 'example.com',
  port: 443
});
System Operations
// Get system information
const sysInfo = await mcp.use('toolkit-mcp-server', 'getSystemInfo', {});

// Get load average
const load = await mcp.use('toolkit-mcp-server', 'getLoadAverage', {});
Security Operations
// Generate hash
const hash = await mcp.use('toolkit-mcp-server', 'hashData', {
  input: 'test data',
  algorithm: 'sha256'
});

// Generate UUID
const uuid = await mcp.use('toolkit-mcp-server', 'generateUUID', {});
Generator Operations
// Generate QR code
const qr = await mcp.use('toolkit-mcp-server', 'generateQRCode', {
  data: 'https://example.com',
  type: 'svg'
});

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

Apache License 2.0. See LICENSE for more information.


Built with the Model Context Protocol

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.