← entire.vc

INDIVIDUAL MCP TOOL

list_popular

List the most popular Spark assets by download count, optionally filtered by type.

entire.vcnone authenticationAvailability not checked

LIVE ENDPOINT

https://spark.entire.vc/mcp

No auth detected

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

entire.vc

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.