# VegaMCP

> Use this tool when you need to develop and test AI-first applications, requiring autonomous AI agent swarms, persistent semantic memory, and multi-model reasoning. VegaMCP solves problems in AI development, testing, and automation, providing 78+ tools for streamlined workflows. It accepts various inputs and outputs, including browser automation and semantic data, making it ideal for complex AI projects and testing scenarios.

Canonical page: https://skillsregistry.net/skills/pastarafian-vegamcp  
JSON: https://api.skillsregistry.net/v1/skills/pastarafian-vegamcp

## Description

A production-grade MCP server providing an autonomous AI agent swarm, persistent semantic memory, browser automation, multi-model reasoning, and 78+ tools for AI-first testing and development.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gdlrd3a5v3)
- **Repository:** <https://github.com/Pastarafian/VegaMCP>

## 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": "pastarafian-vegamcp"
    }
  }
}
```

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