pulsemcp Safe content atomic mcp-remote

WebDAV

WebDAV MCP Server enables Claude and other MCP clients to interact with WebDAV file systems through natural language commands. Built with TypeScript and the Model Context Protocol, it provides a complete set of CRUD operations for files and directories, supports both stdio transport (for Claude Desktop integration) and HTTP/SSE transport for remote access, and includes security features like basic authentication and bcrypt password encryption. The server exposes WebDAV operations as MCP resources, tools, and prompts, making it ideal for AI assistants that need to manage documents, configuration files, or any content stored on WebDAV-compatible servers.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: PulseMCP
Repository: github.com/laubplusco/mcp-webdav-server
Author type: human
Updated: 2026-04-25

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MCP

Resolve WebDAV from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"