# VAP Media · Unified MCP Server for AI Agents (Flux · Veo · Suno)

> Use this tool when you need to manage and control AI media generation tasks, such as reserving and executing media generation requests, and handling refund or burn patterns for unused resources. It solves problems related to efficient media production, resource allocation, and cost management for AI agents like Flux, Veo, and Suno. This tool accepts input requests for media generation and outputs execution status and resource allocation results.

Canonical page: https://skillsregistry.net/skills/vapagentmedia-vap-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/vapagentmedia-vap-mcp-server

## Description

Execution control layer for AI agents - Reserve, execute, burn/refund pattern for media generation

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gygagppd9p)
- **Repository:** <https://github.com/vapagentmedia/vap-showcase>

## 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": "vapagentmedia-vap-mcp-server"
    }
  }
}
```

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