# WebDeploy MCP

> WebDeploy MCP — ghbhiee-webdeploy-mcp. Use this tool when you need to deploy web applications and services without relying on Docker, as it streamlines the process of managing and deploying static sites, Node.js services, and Python web applications. It solves problems related to project management, deployment, and configuration, providing a seamless experience for AI clients and users. With inputs including project code and configuration settings, and outputs such as deployed web applications and services, WebDeploy MCP is ideal for use cases requiring efficient and flexible deployment solutions.

Canonical page: https://skillsregistry.net/skills/ghbhiee-webdeploy-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ghbhiee-webdeploy-mcp

## Description

Enables AI clients and users to deploy static sites, Node.js services, and Python web applications without Docker, with tools for project management, deployment, rollback, and domain configuration.

## Trust

- **Trust score (0–1):** 0.46
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hnw7qsbap0)
- **Repository:** <https://github.com/ghbhiee/webdeploy-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": "ghbhiee-webdeploy-mcp"
    }
  }
}
```

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