# rail-interop-mcp

> rail-interop-mcp — dukarev-rail-interop-planner. Use this tool when you need to integrate railway infrastructure data for route planning, train compatibility checks, and weather risk assessment in Poland and Czech Republic. It provides an MCP interface to the ERA RINF database, enabling seamless access to critical railway data. The tool is ideal for use cases requiring real-time traction planning, train scheduling, and logistics optimization.

Canonical page: https://skillsregistry.net/skills/dukarev-rail-interop-planner  
JSON: https://api.skillsregistry.net/v1/skills/dukarev-rail-interop-planner

## Description

Provides an MCP interface to the ERA RINF railway infrastructure database for Poland and Czech Republic, enabling route planning, train compatibility checks (gauge, axle load, length, clearance), weather risk assessment, and traction planning, with a LangGraph agent integrating a custom MCP server and an OpenWeather MCP server.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hs9ecjfmwm)
- **Repository:** <https://github.com/dukarev/rail-interop-planner>

## 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": "dukarev-rail-interop-planner"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dukarev-rail-interop-planner` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dukarev-rail-interop-planner/pull`

---
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