# @writavo/mcp-server

> @writavo/mcp-server — sparkleofficial-writavo-mcp-server. Use this tool when you need to integrate AI assistants with content management systems, enabling automated content creation and publishing through natural language inputs. It solves problems related to content workflow automation, media management, and scheduling, while providing safety confirmations for irreversible actions. The tool accepts natural language commands as input and outputs managed content and media through the Writavo CMS interface.

Canonical page: https://skillsregistry.net/skills/sparkleofficial-writavo-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/sparkleofficial-writavo-mcp-server

## Description

MCP server that connects AI assistants to Writavo CMS, enabling content creation, publishing, scheduling, and media management through natural language, with safety confirmations for irreversible actions.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/toc3ojhk7h)
- **Repository:** <https://github.com/SparkleOfficial/writavo-mcp-server>

## 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": "sparkleofficial-writavo-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sparkleofficial-writavo-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sparkleofficial-writavo-mcp-server/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
