# nextcloud-mcp

> nextcloud-mcp — fridder12-nextcloud-mcp. Use this tool when you need to integrate Claude with a self-hosted Nextcloud instance, enabling file management and Obsidian vault operations via WebDAV. It solves problems related to file access and organization, allowing for listing, reading, writing, creating, deleting, and searching files, as well as managing frontmatter, tags, backlinks, and wikilinks. It takes WebDAV inputs and outputs file data, ideal for use cases requiring seamless interaction between Claude and Nextcloud.

Canonical page: https://skillsregistry.net/skills/fridder12-nextcloud-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fridder12-nextcloud-mcp

## Description

A Model Context Protocol server that enables Claude to list, read, write, create, delete, and search files on a self-hosted Nextcloud instance via WebDAV, with additional Obsidian vault-aware operations for frontmatter, tags, backlinks, and wikilinks.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uikg4veuzk)
- **Repository:** <https://github.com/fridder12/nextcloud-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": "fridder12-nextcloud-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fridder12-nextcloud-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fridder12-nextcloud-mcp/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