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Spark - AI Assets Marketplace MCP Server

answering

Spark - AI Assets Marketplace is answering right now. Last checked 3 min ago. It exposes 6 tools. Last commit 21 Sep 2026.

Search and fetch AI agents, skills, prompts and MCP connectors from the Spark marketplace.

Uptime history 12 hours of history
12 hours agonow
100.0%
Uptime 24h
45 of 45 checks
6
Tools
read from the server
51 ms
Response time
average over 24h
5
Stars
last commit 21 Sep 2026

What changed 6

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 24 September 2026. No other catalogue keeps this.

24 Sep 6 tool descriptions were rewritten get_asset, get_asset_content, list_categories and 3 more

Nothing serious here today

Today is the operative word: we check Spark - AI Assets Marketplace every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 3 min ago.

run in your terminal
claude mcp add spark --transport http https://spark.entire.vc/mcp/
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "spark": {
      "url": "https://spark.entire.vc/mcp/"
    }
  }
}
~/.codex/config.toml
[mcp_servers.spark]
url = "https://spark.entire.vc/mcp/"
.cursor/mcp.json
{
  "mcpServers": {
    "spark": {
      "url": "https://spark.entire.vc/mcp/"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "spark": {
      "url": "https://spark.entire.vc/mcp/"
    }
  }
}

Available tools 6

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

asset
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. Call this once you have a slug (from search_assets, list_popular, or a link) and want the full picture before deciding to use it. It does NOT return the actual prompt/skill/agent content to apply — use get_asset_content for that.
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. Call this once you've picked a slug (via search_assets/get_asset) and are ready to use the asset. Unlike search_assets/get_asset, this counts as a download/acquisition event, and each call may return different content if the asset was updated. For paid assets, authentication is required — add your Spark API key (X-API-Key header) or a Bearer token to your MCP client configuration. The response ends with an `application_id`; pass it to report_outcome once you know whether the asset worked.
assets
search_assets
Search the Spark AI assets marketplace for agents, skills, prompts, prompt chains, MCP connectors and bundles. Call this first when you need to find an asset for a task and don't already have its slug — use get_asset/get_asset_content once you know the slug. Returns a numbered list of short summaries; use get_asset for full details on a specific result.
categories
list_categories
List available categories (domains and AI tags) in the Spark marketplace. Call this to discover valid values for search_assets' `domain` filter, or to browse the catalog's taxonomy before searching. Example: list_categories()
popular
list_popular
List the most popular Spark assets by download count, optionally filtered by type. Use this to browse what's trending when you don't have a specific search term — for a targeted lookup, use search_assets instead.
report
report_outcome
Report what happened when you applied an asset you fetched with get_asset_content. Call it once you know: applied as is, applied with changes, broke, or not applicable. The next agent choosing this asset reads the outcomes in search results. Reports made with an API key count; anonymous ones are stored as unverified. Calling again with the same application_id updates your report. Fields `task`, `note`, `changed_what`, `failed_at`, `expected`, `got` are shown to the asset's author. Do not include client data, private paths, keys, emails or URLs with tokens. Your identity is never shown to the author. Example: report_outcome(application_id='<from get_asset_content>', result='applied_with_changes', task='add a rate limiter to the API', changed_what='swapped the fixed window for a token bucket').

Endpoints

URLTransportStateLatencyChecked
https://spark.entire.vc/mcp/ streamable-http answering 63 ms 3 min ago

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Spark - AI Assets Marketplace — questions

Answers built from our own checks of this server.

What can Spark - AI Assets Marketplace do?
It exposes 6 tools, read directly from the server on our last check. Among them: get_asset, get_asset_content, list_categories, list_popular, report_outcome, search_assets. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Spark - AI Assets Marketplace working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 45 of 45 checks got a reply (100.0%), average response time 51 ms. The bar chart above shows every period we have measured.
How do I connect Spark - AI Assets Marketplace?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Spark - AI Assets Marketplace need an API key?
No. Spark - AI Assets Marketplace completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 6 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Spark - AI Assets Marketplace?
It answers our handshake in 51 ms on average, which is faster than 99% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Spark - AI Assets Marketplace open source?
Yes — it is published under the MIT licence, written in TypeScript and 5 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.