# Veyrax

> Use this tool when you need to integrate AI agents with Veyrax's services, enabling access to specialized AI capabilities and data services. It solves problems requiring bridging of MCP servers with the Veyrax API, providing a compatible interface for authentication and data exchange. The tool takes API keys as input and outputs integrated services, ideal for use cases demanding seamless interaction with Veyrax's platform.

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

## Description

This MCP server implementation provides a bridge to the Veyrax API, enabling AI agents to interact with Veyrax's services. Developed using TypeScript and Node.js, it utilizes the @modelcontextprotocol/sdk for MCP compatibility. The server is designed for use cases requiring integration with Veyrax's platform, such as accessing specialized AI capabilities or data services provided by Veyrax. It includes configuration for API key authentication and is containerized using Docker for easy deployment.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/veyrax)
- **Repository:** <https://github.com/veyrax/veyrax-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": "veyrax"
    }
  }
}
```

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