# MCP Gateway Prototype

> MCP Gateway Prototype — augusto-realist-artiva-mcp-gateway-prototype. Use this tool when you need to securely query BigQuery datasets using natural language and explore data with ease. The MCP Gateway Prototype solves authentication and authorization challenges by integrating Okta authentication and workload identity federation, providing a seamless interface for data analysis. It accepts natural language queries as input and returns relevant dataset information as output, ideal for use cases requiring simplified data exploration and secure data access.

Canonical page: https://skillsregistry.net/skills/augusto-realist-artiva-mcp-gateway-prototype  
JSON: https://api.skillsregistry.net/v1/skills/augusto-realist-artiva-mcp-gateway-prototype

## Description

A local MCP server for BigQuery that integrates Okta authentication and workload identity federation, enabling natural language queries and dataset exploration.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f2b39lhgy7)
- **Repository:** <https://github.com/augusto-realist/artiva-mcp-gateway-prototype>

## 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": "augusto-realist-artiva-mcp-gateway-prototype"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/augusto-realist-artiva-mcp-gateway-prototype` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/augusto-realist-artiva-mcp-gateway-prototype/pull`

---
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