LTA
Provide real-time transportation data including bus arrivals, train service alerts, carpark availa…
What is LTA?
LTA is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to provide real-time transportation data including bus arrivals, train service alerts, carpark availa…
Provide real-time transportation data including bus arrivals, train service alerts, carpark availa…
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Provide real-time transportation data including bus arrivals
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @toolsdk-remote/ai-smithery-arjunkmrm-lta-mcpManual Installation
npx -y @toolsdk-remote/ai-smithery-arjunkmrm-lta-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about LTA
What is LTA?
LTA is a Model Context Protocol (MCP) server that provide real-time transportation data including bus arrivals, train service alerts, carpark availa… It connects AI assistants to external tools and data sources through a standardized interface.
How do I install LTA?
Install via npm with the command: npx -y @toolsdk-remote/ai-smithery-arjunkmrm-lta-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with LTA?
LTA works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is LTA free to use?
Yes, LTA is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Search & Data Extraction MCP Servers
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Set Up LTA in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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