# spark-mcp

> Use this tool when you need to manage class scheduling, bookings, and attendance for the Spark Membership platform. It enables seamless integration with any MCP client, solving problems related to membership management and attendance tracking. The spark-mcp server accepts inputs from MCP clients and outputs managed data for efficient membership platform operations.

Canonical page: https://skillsregistry.net/skills/aserper-spark-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aserper-spark-mcp

## Description

MCP server for the Spark Membership platform enabling class scheduling, bookings, attendance management through any MCP client.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xvyvze6nsg)
- **Repository:** <https://github.com/aserper/spark-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": "aserper-spark-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aserper-spark-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aserper-spark-mcp/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