INDIVIDUAL MCP TOOL
list_popular
List the most popular Spark assets by download count, optionally filtered by type.
LIVE ENDPOINT
https://spark.entire.vc/mcp
Connect to this endpoint to inspect the live schema for list_popular and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- A tool name or description suggests retrieving external content.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.spark-ai-assets-marketplace]
url = "https://spark.entire.vc/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"spark-ai-assets-marketplace": {
"type": "http",
"url": "https://spark.entire.vc/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: spark-ai-assets-marketplace
Remote MCP URL: https://spark.entire.vc/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"spark-ai-assets-marketplace": {
"url": "https://spark.entire.vc/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"spark-ai-assets-marketplace": {
"type": "http",
"url": "https://spark.entire.vc/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "spark-ai-assets-marketplace",
"transport": "streamable-http",
"url": "https://spark.entire.vc/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
search_assets— Search the Spark AI assets marketplace for agents, skills, prompts, prompt chains, MCP connectors and bundles.get_asset— Get full details of a Spark asset by its slug — description, metadata, outcome reports, bundled files and the URL on spark.get_asset_content— Get the raw content of a Spark asset (prompt text, skill instructions, agent config) — the actual text to apply, not just a description of it.report_outcome— Report what happened when you applied an asset you fetched with get_asset_content.list_categories— List available categories (domains and AI tags) in the Spark marketplace.