# synthesia-mcp

> Use this tool when you need to create and manage customized avatar videos using natural language inputs, saving quota with draft-by-default rendering. It solves problems of efficient video content creation and quota management for Synthesia avatar videos. Ideal for use cases where automated video generation is required, with inputs including text prompts and outputs being customized avatar videos.

Canonical page: https://skillsregistry.net/skills/keithazz-synthesia-mcp  
JSON: https://api.skillsregistry.net/v1/skills/keithazz-synthesia-mcp

## Description

Enables creating and managing Synthesia avatar videos through natural language, with draft-by-default rendering to save quota.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xwsno5or6d)
- **Repository:** <https://github.com/keithazz/synthesia-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": "keithazz-synthesia-mcp"
    }
  }
}
```

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