INDIVIDUAL MCP TOOL

search_assets

Search the Spark AI assets marketplace for agents, skills, prompts, prompt chains, MCP connectors and bundles.

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 search_assets and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

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.

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_popular — List the most popular Spark assets by download count, optionally filtered by type.
list_categories — List available categories (domains and AI tags) in the Spark marketplace.