Spark - AI Assets Marketplace

Measured conclusion: Deep-tested. L2 outcome: tools_ok.

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

Add to your agent

Copy this into your MCP client config:

{
  "mcpServers": {
    "Spark - AI Assets Marketplace": {
      "url": "https://spark.entire.vc/mcp/",
      "transport": "streamable-http"
    }
  }
}

Measured tools (6)

• search_assets read-only

  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 type, downloads, outcomes, price, tags and URL, or a no-results message. No login required; no acquisition is made. Unmatched nonempty queries may be recorded as unmet catalog needs. A nonempty job ranks text matches by task fit, even with a non-combo sort. For example, search_assets(query='rate limiting', job='add a rate limiter', limit=5).

  Parameters:

  • query (required) — string — Text matched against titles and descriptions, e.g. 'rate limiting'; empty text browses the catalog.
  • job — Optional task, e.g. 'review Python code'; a nonempty value enables job-based ranking regardless of sort.
  • sort — string — combo (default): quality, ratings and outcomes; popular: downloads; newest: creation date; rating: average rating. Invalid values fall back to combo; job enables ranking for any sort.
  • type — Optional asset type: agent, skill, prompt, prompt_chain, mcp_connector or bundle; omitted means all types.
  • limit — integer — Maximum results; clamped to 1-50, default 10.
  • domain — Optional domain slug from list_categories, e.g. 'development'; omitted means all domains.

  Hints: read-only yes · destructive not declared · idempotent yes · open-world no

• get_asset read-only

  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 embedded content; get_asset_content obtains the raw content and a receipt. Public catalog lookup, no login or download recorded. Missing or unavailable slugs return a not-found message. For example, get_asset(slug='vb-seo-expert').

  Parameters:

  • slug (required) — string — Exact asset slug from a search result or Spark URL, e.g. 'vb-seo-expert'; not a URL or asset ID.

  Hints: read-only yes · destructive not declared · idempotent yes · open-world no

• 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 acquisition. Each successful fetch records a download/acquisition; repeated calls create new receipts and content may change after updates. Free content needs no login. Paid content requires a Spark API key (X-API-Key) or Bearer token and prior purchase or ownership; this tool makes no purchase. Returns content and an application_id for report_outcome, or a not-found/access message. Content may be a source link rather than embedded text. For example, get_asset_content(slug='vb-seo-expert').

  Parameters:

  • slug (required) — string — Exact asset slug from a search result or Spark URL, e.g. 'vb-seo-expert'; not a URL or asset ID.

  Hints: read-only no · destructive no · idempotent no · open-world not declared

• 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/session receipts are rejected; asset owners cannot report on their own assets. Submitting the same application_id updates the report. Authenticated reports count, but team reports do not affect rankings; anonymous reports are unverified. Returns a saved/updated confirmation, or a validation/receipt error. Fields `task`, `note`, `changed_what`, `failed_at`, `expected`, `got` are published on the asset's public page on spark.entire.vc, visible to any visitor. Do not include client data, private paths, keys, emails or URLs with tokens. Your identity is never shown on that page. Example: report_outcome(application_id='<receipt>', result='applied_as_is', task='add a rate limiter').

  Parameters:

  • application_id (required) — string — The application_id at the end of the get_asset_content response.
  • result (required) — string — applied_as_is: applied without edits, task solved. applied_with_changes: had to edit it, then solved (requires changed_what). broke: tried to apply and it failed (requires failed_at). not_applicable: read it and did not apply, it does something else (requires expected and got).
  • task (required) — string — Required nonempty task attempted, one phrase (≤ 200 characters); published on the asset page.
  • got — Required for not_applicable: what the asset actually does (≤ 200 characters); ignored for other results.
  • note — Optional extra context (≤ 300 characters); published on the asset page.
  • model — Optional model name; trimmed to 100 characters. Shown, never ranked.
  • expected — Required for not_applicable: what was sought (≤ 200 characters); ignored for other results.
  • failed_at — Required for broke: failed step, tool or command and error class (≤ 200 characters); ignored for other results.
  • changed_what — Required for applied_with_changes: what changed (≤ 200 characters); ignored for other results.

  Hints: read-only no · destructive no · idempotent yes · open-world not declared

• list_popular read-only

  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.' Downloads measure acquisitions, not successful applications or ratings. Public catalog lookup, no login or download recorded. For example, list_popular(type='skill', limit=5).

  Parameters:

  • type — Optional asset type: agent, skill, prompt, prompt_chain, mcp_connector or bundle; omitted means all types.
  • limit — integer — Maximum results; clamped to 1-20, default 10.

  Hints: read-only yes · destructive not declared · idempotent yes · open-world no

• list_categories read-only

  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/slugs and domain names/slugs grouped by parent category; domain slugs are accepted by search_assets' domain filter. AI tags are not a search_assets filter. Public catalog lookup, no login or download recorded. For example, list_categories().

  Hints: read-only yes · destructive not declared · idempotent yes · open-world no

Publisher website Repository

Measured by MCPYP probing. Untested fields are omitted, never estimated. Listing is always free; MCPYP never proxies calls or stores user tokens.