# SNCF API MCP Server

> Use this tool when you need to integrate train journey planning and information retrieval into your application, solving problems such as itinerary optimization and real-time train schedule retrieval. It takes in location and travel parameters as inputs and outputs personalized journey plans and train information, leveraging the SNCF API. Ideal for use cases involving travel planning and logistics within France's railway network.

Canonical page: https://skillsregistry.net/skills/kryzo-mcp-sncf  
JSON: https://api.skillsregistry.net/v1/skills/kryzo-mcp-sncf

## Description

A modular Python wrapper for the SNCF API that integrates with Claude Desktop, enabling intelligent journey planning and train information retrieval across France's railway network.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uvbp7vugox)
- **Repository:** <https://github.com/Kryzo/mcp-sncf>

## 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": "kryzo-mcp-sncf"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kryzo-mcp-sncf` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kryzo-mcp-sncf/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