# mcp-valorant

> mcp-valorant — pipeworx-io-mcp-valorant. Use this tool when you need to access VALORANT reference data, such as agent information or game updates, to solve problems related to game development, research, or community projects. It provides inputs through API calls and outputs relevant data in a structured format. Use it in contexts where accurate and up-to-date VALORANT data is required, such as building game-related applications or analyzing game trends.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-valorant  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-valorant

## Description

VALORANT reference data MCP (valorant-api.com).

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-valorant)

## 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": "pipeworx-io-mcp-valorant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-valorant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-valorant/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