open-index/open-npm huggingface dataset:
npm package: @mseep/mcp-lta
Description: Model Context Protocol server for LTA DataMall API
Latest version: 1.0.0

# Singapore LTA MCP Server
[![smithery badge](https://smithery.ai/badge/@arjunkmrm/mcp-sg-lta)](https://smithery.ai/server/@arjunkmrm/mcp-sg-lta)

An MCP server for Singapore's Land Transport Authority (LTA) DataMall API, providing real-time access to transportation information including bus arrivals, traffic conditions, and train service updates.

### Installing via Smithery

To install Singapore LTA MCP Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@arjunkmrm/mcp-sg-lta):

```bash
npx -y @smithery/cli install @arjunkmrm/mcp-sg-lta --client claude
```

## Tools

### bus_arrival

Get real-time bus arrival information for specific bus stops.

**Inputs:**
- `busStopCode` (string, required): The unique 5-digit bus stop code
- `serviceNo` (string, optional): Specific bus service number to filter results

### station_crowding

Get real-time crowding levels at MRT/LRT stations (Updates every 10 minutes).

**Inputs:**
- `trainLine` (string, required): Code of train network line
  - Supported values: CCL, CEL, CGL, DTL, EWL, NEL, NSL, BPL, SLRT, PLRT, TEL

### train_alerts

Get real-time train service alerts including disruptions and shuttle services.

**Inputs:** None required

### carpark_availability

Get real-time availability of parking lots for HDB, LTA, and URA carparks (Updates every minute).

**Inputs:** None required

### travel_times

Get estimated travel times on expressway segments (Updates every 5 minutes).

**Inputs:** None required

### traffic_incidents

Get current road incidents including accidents, roadworks, and heavy traffic (Updates every 2 minutes).

**Inputs:** None required

### station_crowd_forecast

Get forecasted MRT/LRT station crowdedness levels in 30-minute intervals.

**Inputs:**
- `trainLine` (string, required): Code of train network line
  - Supported values: CCL, CEL, CGL, DTL, EWL, NEL, NSL, BPL, SLRT, PLRT, TEL

## Configuration

### Getting an API Key

1. Register for an account on [LTA DataMall](https://datamall.lta.gov.sg)
2. Subscribe to the API services
3. Obtain your API key from the account dashboard

### Usage with Claude Desktop

Add this to your `claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "lta": {
        "command": "npx", 
        "args": [
          "-y", 
          "arjunkmrm/mcp-sg-lta"
        ],
        "env": {
          "LTA_API_KEY": "YOUR-API-KEY"
        }
    }
  }
}
```
npm package: @mseep/mcp-miro
Description: A Model Context Protocol server to connect to the MIRO Whiteboard Application
Latest version: 0.1.1

# mcp-miro MCP Server
[![smithery badge](https://smithery.ai/badge/@llmindset/mcp-miro)](https://smithery.ai/server/@llmindset/mcp-miro)

A Model Context Protocol server to connect to the MIRO Whiteboard Application.

- Allows Board manipulation, sticky creation, bulk operations and more.
- Pass your OAuth key as an Environment Variable, or using the "--token" argument.
- Taking a photo of stickies and asking Claude to create MIRO equivalent works _really_ well.

<a href="https://glama.ai/mcp/servers/gr5t7vthv3"><img width="380" height="200" src="https://glama.ai/mcp/servers/gr5t7vthv3/badge" alt="mcp-miro MCP server" /></a>

## Installation

### Installing via Smithery

To install MIRO Whiteboard Connector for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@llmindset/mcp-miro):

```bash
npx -y @smithery/cli install @llmindset/mcp-miro --client claude
```

### Using mcp-get

You can install this package using mcp-get:

```bash
npx @michaellatman/mcp-get@latest install @llmindset/mcp-miro
```

_Note - if you are using an old version of Windows PowerShell, you may need to run_ `Set-ExecutionPolicy Bypass -Scope Process` _before this command._

## Features

![MIRO/Claude Desktop Screenshot](./2024-12-02-screenshot_1.png)

### Resources
- Get Board Contents 

### Tools
- Create Sticky, Shape
- Read Board, Frame, Contents
- Bulk Create

### Prompts
- Instruct on Board Coordinates etc.

## Development

Install dependencies:
```bash
npm install
```

Build the server:
```bash
npm run build
```

For development with auto-rebuild:
```bash
npm run watch
```

## Installation

To use with Claude Desktop, add the server config:

On MacOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
On Windows: `%APPDATA%/Claude/claude_desktop_config.json`

```json
{
  "mcpServers": {
    "mcp-miro": {
      "command": "/path/to/node-or-npx",
      "arguments": [
        "/path/to/mcp-miro/build/index.js",
        "--token","MIRO-OAUTH-KEY"
      ]
    }
  }
}
```

### Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector), which is available as a package script:

```bash
npm run inspector
```

The Inspector will provide a URL to access debugging tools in your browser.

In Dev environment recommend adding https://github.com/miroapp/api-clients/blob/041de24ebf7955432b447d887ede066ad4c7e2c7/packages/generator/spec.json for reference.
npm package: @mseep/mcp-mock-data-server
Description: Faker.js 기반 Mock 데이터 생성 MCP 서버
Latest version: 1.0.0

# MCP Mock Data Server

Faker.js 기반 Mock 데이터 생성 MCP 서버

## 기능

- 다양한 타입의 Mock 데이터 생성
  - 사용자 프로필
  - 회사 정보
  - 제품 정보
- JSON 형식으로 데이터 저장
- 한국어/영어 지원

## 설치

```bash
npm install
```

## 실행

개발 모드:
```bash
npm run dev
```

프로덕션 모드:
```bash
npm run build
npm start
```

## 사용 예시

```typescript
// 사용자 프로필 생성
const profiles = generateMockData('profile', 10);

// 회사 정보 생성
const companies = generateMockData('company', 5);

// 영어로 제품 정보 생성
const products = generateMockData('product', 3, 'en');
```