# VEED

> Use this tool when you need to generate customized talking-head videos from text prompts, featuring AI characters and synthesized voices. It solves problems such as automating video content creation, enhancing multimedia presentations, and streamlining video production workflows. The VEED API takes text inputs and produces customized video outputs, ideal for use cases requiring dynamic and engaging video content.

Canonical page: https://skillsregistry.net/skills/veed  
JSON: https://api.skillsregistry.net/v1/skills/veed

## Description

VEED's AI video generation API enables creation of talking-head videos featuring customizable AI characters and synthesized voices directly from text prompts. Part of VEED's Fabric platform for programmatic AI media production.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/veed)

## 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": "veed"
    }
  }
}
```

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