# oxml-mcp

> oxml-mcp — sebastienrousseau-oxml-mcp. Use this tool when you need to integrate language models with oxml data, as it provides a Model Context Protocol server to expose oxml to language models, accepting git inputs and generating outputs for informed model decisions. It solves problems of data compatibility and accessibility for language models, enabling seamless interaction with oxml data. Ideal for use cases requiring oxml-based language model training or inference.

Canonical page: https://skillsregistry.net/skills/sebastienrousseau-oxml-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sebastienrousseau-oxml-mcp

## Description

Model Context Protocol server exposing oxml to language models

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/sebastienrousseau/oxml-mcp)

## 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": "sebastienrousseau-oxml-mcp"
    }
  }
}
```

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