# spark-agent-tools

> spark-agent-tools — ghchinoy-spark-agent-tools. Use this tool when you need to deploy OAuth 2.1-enabled MCP servers for Gemini Spark with minimal setup, solving authentication and authorization challenges. It provides a self-contained Go binary with full OAuth 2.1 scaffolding, taking Git repositories as input and outputting deployable binaries. Ideal for use cases requiring secure authentication and easy deployment to Cloud Run.

Canonical page: https://skillsregistry.net/skills/ghchinoy-spark-agent-tools  
JSON: https://api.skillsregistry.net/v1/skills/ghchinoy-spark-agent-tools

## Description

Hello-world MCP servers for Gemini Spark: full OAuth 2.1 scaffolding (RFC 9728 + 8414 + 7591 + 7636 PKCE) in self-contained Go binaries, deployable to Cloud Run in one command.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-23

## Source

- **Source listing:** [GitHub](https://github.com/ghchinoy/spark-agent-tools)

## 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": "ghchinoy-spark-agent-tools"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ghchinoy-spark-agent-tools` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ghchinoy-spark-agent-tools/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