Spark - AI Assets Marketplace

Discover and download a variety of assets including prompts, skills, and connectors from the Spark marketplace.

Community: Submitted by a user or imported; check the owner before granting accessOnlineNo sign-inGlobalFreeRead-only

What it can do

  • Search Assets: Search the Spark AI assets marketplace.
  • Get Asset: Get full details of a Spark asset by its slug. Returns description, metadata, outcome reports, files, and the URL on spark.entire.vc.
  • Get Asset Content: Get the raw content of a Spark asset (prompt text, skill instructions, agent config). This counts as a download/acquisition event. For paid assets, authentication is required — add

What data it sees

Do you need an account

No: the server works without sign-in

Discover and download a variety of assets including prompts, skills, and connectors from the Spark marketplace. Access detailed documentation, ratings, and raw content to quickly integrate pre-built components into your projects. Filter by domain and popularity to find the most relevant solutions for your specific development or marketing needs.

How to connect

How to connect Spark - AI Assets Marketplace to Claude

The server address to paste into Claude settings:

https://spark.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Spark - AI Assets Marketplace to ChatGPT

The server address to paste into ChatGPT settings:

https://spark.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Spark - AI Assets Marketplace to Cursor

The server address to paste into Cursor settings:

https://spark.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (6)

Raw names from tools/list. Only developers need these.

search_assetsSearch the Spark AI assets marketplace.
get_assetGet full details of a Spark asset by its slug. Returns description, metadata, outcome reports, files, and the URL on spark.entire.vc.
get_asset_contentGet the raw content of a Spark asset (prompt text, skill instructions, agent config). This counts as a download/acquisition event. For paid assets, authentication is required — add your Spark API key (X-API-Key header) or a Bearer token to your MCP client configuration.
report_outcomeReport 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.
list_popularList the most popular Spark assets by download count.
list_categoriesList available categories (domains and AI tags) in the Spark marketplace. Useful for filtering searches by domain or AI model compatibility.