# Convika

> Use this tool when you need to streamline landing page creation and management, solving problems such as tedious design and publishing processes, and limited analytics capabilities. Convika takes inputs from AI models like Claude and Codex, and outputs fully functional landing pages with measurable performance metrics. It is ideal for use cases requiring rapid deployment and testing of targeted marketing campaigns.

Canonical page: https://skillsregistry.net/skills/com-convika-convika  
JSON: https://api.skillsregistry.net/v1/skills/com-convika-convika

## Description

Create, preview, publish, and measure landing pages from Claude, Codex, or any MCP client.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-12

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.convika%2Fconvika)

## Use it

MCP endpoint published by the skill: `https://mcp.convika.com/mcp`

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": "com-convika-convika"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-convika-convika` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-convika-convika/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