# MCP Transportasi - Jalan Tol & Jalur KA

> Use this tool when you need to access data on Indonesian transportation infrastructure, including toll roads and railway lines, to query specific details such as toll gates, road segments, and station locations. It solves problems related to transportation planning, logistics, and route optimization by providing accurate and up-to-date information. The tool accepts natural language queries and returns relevant data on transportation infrastructure across Java.

Canonical page: https://skillsregistry.net/skills/tirthanzh-mcp-transportasi-jalan-tol-dan-jalur-ka  
JSON: https://api.skillsregistry.net/v1/skills/tirthanzh-mcp-transportasi-jalan-tol-dan-jalur-ka

## Description

MCP server providing data on Indonesian toll roads and railway lines, including toll gates, road segments, stations, and track locations across Java. Enables querying transportation infrastructure via natural language.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m9unlddd4q)
- **Repository:** <https://github.com/tirthanzh/mcp-transportasi-jalan-tol-dan-jalur-ka>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tirthanzh-mcp-transportasi-jalan-tol-dan-jalur-ka"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tirthanzh-mcp-transportasi-jalan-tol-dan-jalur-ka` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tirthanzh-mcp-transportasi-jalan-tol-dan-jalur-ka/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt