Connect Spark - AI Assets Marketplace and your agent gets 6 tools, among them get_asset, get_asset_content, list_categories. It answers at https://spark.entire.vc/mcp/ over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 4 of 4 times since 23 September 2026; the last check, on 7 November 2026, succeeded.
Search and fetch AI agents, skills, prompts and MCP connectors from the Spark marketplace.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
get_asset | Get full details of a Spark asset by its slug — description, metadata, outcome reports, bundled files and the URL on spark.entire.vc. For when a known slug needs inspection before acquisition. Returns Markdown details, which may include emb Inputs: slug |
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. For when a known asset's content is needed for application; get_asset provides details without ac Inputs: slug |
list_categories | List available categories (domains and AI tags) in the Spark marketplace. For when domain filter values or taxonomy are needed; search_assets returns assets rather than categories. Takes no parameters. Returns Markdown lists of AI tag names |
list_popular | List the most popular Spark assets by download count, optionally filtered by type. For when browsing without a text query; search_assets finds text matches. Returns numbered summaries with outcomes, price, tags and URLs, or 'No assets found Inputs: type, limit |
report_outcome | Records the result of applying a fetched Spark asset: applied as is, changed, broke, or not applicable. For when the outcome is known and an application_id from get_asset_content is available, rather than a star rating. Mismatched user/sess Inputs: application_id, result, task, changed_what, failed_at, expected |
search_assets | Search the Spark AI assets marketplace for agents, skills, prompts, prompt chains, MCP connectors and bundles. For when a text query is available but the slug is not known; get_asset describes a known slug. Returns numbered summaries with t Inputs: query, job, type, domain, sort, limit |
Every block below points at https://spark.entire.vc/mcp/. Pick your client and copy.
claude mcp add --transport http spark-ai-assets-marketplace https://spark.entire.vc/mcp/
{
"mcpServers": {
"spark-ai-assets-marketplace": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://spark.entire.vc/mcp/"]
}
}
}{
"mcpServers": {
"spark-ai-assets-marketplace": {
"url": "https://spark.entire.vc/mcp/"
}
}
}{
"servers": {
"spark-ai-assets-marketplace": {
"type": "http",
"url": "https://spark.entire.vc/mcp/"
}
}
}{
"context_servers": {
"spark-ai-assets-marketplace": {
"url": "https://spark.entire.vc/mcp/"
}
}
}{
"mcpServers": {
"spark-ai-assets-marketplace": {
"serverUrl": "https://spark.entire.vc/mcp/"
}
}
}{
"mcpServers": {
"spark-ai-assets-marketplace": {
"url": "https://spark.entire.vc/mcp/"
}
}
}name: Spark - AI Assets Marketplace
version: 0.0.1
schema: v1
mcpServers:
- name: Spark - AI Assets Marketplace
type: streamable-http
url: https://spark.entire.vc/mcp/{
"mcpServers": {
"spark-ai-assets-marketplace": {
"httpUrl": "https://spark.entire.vc/mcp/"
}
}
}{
"mcpServers": {
"spark-ai-assets-marketplace": {
"type": "http",
"url": "https://spark.entire.vc/mcp/"
}
}
}{
"mcpServers": {
"spark-ai-assets-marketplace": {
"url": "https://spark.entire.vc/mcp/"
}
}
}goose://extension?url=https%3A%2F%2Fspark.entire.vc%2Fmcp%2F&type=streamable_http&id=spark-ai-assets-marketplace&name=Spark%20-%20AI%20Assets%20Marketplace
It answered our last check on 7 November 2026 in 330 ms. Over 4 checks since 23 September 2026 it answered 4. Status here comes from Neuronto's own probes, not from the publisher.
6, as returned by the server's own tools/list on 14 November 2026: get_asset, get_asset_content, list_categories, list_popular, report_outcome, search_assets.
It answered our last check on 7 November 2026 in 330 ms. Over 4 checks since 23 September 2026 it answered 4.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://spark.entire.vc/mcp/. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.entire-vc. Endpoint host: spark.entire.vc. ARD identifier: urn:air:io.github.entire-vc:mcp:spark.
First indexed 23 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.