MCP server for Spark — your AI toolbox for real work. Search and discover agents, skills, prompts, bundles, and MCP connectors.
Spark MCP is an MCP project maintained in the entire-vc/evc-spark-mcp repository. The maintainer describes its purpose as “MCP server for Spark — your AI toolbox for real work. Search and discover agents, skills, prompts, bundles, and MCP connectors”. Read the project documentation for the complete scope.
The documented npm package is evc-spark-mcp. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| search_assets | Search the Spark catalog by query, type, and domain |
| get_asset | Get full details of an asset by slug |
| get_asset_content | Get raw prompt/skill content (best for prompts and skills) |
| list_popular | List most popular assets by download count |
| list_categories | List available domains and AI tags for filtering |
| get_api_key_info | Check your API key status and daily usage |
| report_outcome | Report what happened when you applied fetched content: applied as is, applied with changes, broke, or not applicable |
{
"mcpServers": {
"spark": {
"command": "npx",
"args": [
"-y",
"evc-spark-mcp"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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