# Spark - AI Assets Marketplace (remote · spark.entire.vc)

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

- Trust score: 84/100 (high trust)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-10-24

## Components

- remote · `spark.entire.vc`: 84/100 (this document), [markdown](https://verifymcp.io/servers/entire-vc-spark/spark.md), [page](https://verifymcp.io/servers/entire-vc-spark/spark)

## Channel facts

- Endpoint: `https://spark.entire.vc/mcp/`
- Transports: `streamable-http`
- Auth: `none`
- Version: `4.0.4`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-10-24.

- **Endpoint Security**: 74/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 67/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 1432 tokens (~238/item across 6 items; 6 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 100/100
  - No destabilizing schema changes in the last 30 days.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

## Install

### How do I install the Spark - AI Assets Marketplace MCP server?

Spark - AI Assets Marketplace is a hosted endpoint at https://spark.entire.vc/mcp/, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http entire-vc-spark 'https://spark.entire.vc/mcp/'
```

### Cursor

```json
{
  "mcpServers": {
    "entire-vc-spark": {
      "url": "https://spark.entire.vc/mcp/"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "entire-vc-spark": {
      "type": "http",
      "url": "https://spark.entire.vc/mcp/"
    }
  }
}
```

### Codex

```toml
[mcp_servers.entire-vc-spark]
url = "https://spark.entire.vc/mcp/"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "entire-vc-spark": {
      "type": "remote",
      "url": "https://spark.entire.vc/mcp/",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add entire-vc-spark --url 'https://spark.entire.vc/mcp/' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  entire-vc-spark:
    url: "https://spark.entire.vc/mcp/"
```

### Netclaw

```json
{
  "McpServers": {
    "entire-vc-spark": {
      "Transport": "http",
      "Url": "https://spark.entire.vc/mcp/"
    }
  }
}
```

### Vellum

```bash
assistant mcp add entire-vc-spark -t streamable-http -u 'https://spark.entire.vc/mcp/'
```

### Other

```json
{
  "mcpServers": {
    "entire-vc-spark": {
      "type": "http",
      "url": "https://spark.entire.vc/mcp/"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-10-23 (score 84, +1)

- [security] Stability: 0.97 → pass

### 2026-10-21 (score 83, +1)

No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-19 (score 82, +1)

No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-17 (score 81, +1)

No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-15 (score 80, +1)

No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-13 (score 79, +1)

No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-10 (score 78, +3)

No change was recorded against any check on this day. Stability & Change Management went from 40 to 57. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 17 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-04 (score 75, +1)

No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

## MCP tools (6)

### `search_assets` (~305 tokens)

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 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).

Input parameters:

- `domain`: Optional domain slug from list_categories, e.g. 'development'; omitted means all domains.
- `job`: Optional task, e.g. 'review Python code'; a nonempty value enables job-based ranking regardless of sort.
- `limit` (integer): Maximum results; clamped to 1-50, default 10.
- `query` (string, required): Text matched against titles and descriptions, e.g. 'rate limiting'; empty text browses the catalog.
- `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.

Output parameters:

- `result` (string)

### `get_asset` (~141 tokens)

Get asset details

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').

Input parameters:

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

Output parameters:

- `result` (string)

### `get_asset_content` (~197 tokens)

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').

Input parameters:

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

Output parameters:

- `result` (string)

### `report_outcome` (~464 tokens)

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').

Input parameters:

- `application_id` (string, required): The application_id at the end of the get_asset_content response.
- `changed_what`: Required for applied_with_changes: what changed (≤ 200 characters); ignored for other results.
- `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.
- `got`: Required for not_applicable: what the asset actually does (≤ 200 characters); ignored for other results.
- `model`: Optional model name; trimmed to 100 characters. Shown, never ranked.
- `note`: Optional extra context (≤ 300 characters); published on the asset page.
- `result` (string, required): 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:…
- `task` (string, required): Required nonempty task attempted, one phrase (≤ 200 characters); published on the asset page.

Output parameters:

- `result` (string)

### `list_popular` (~140 tokens)

List popular assets

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).

Input parameters:

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

Output parameters:

- `result` (string)

### `list_categories` (~103 tokens)

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/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().

Output parameters:

- `result` (string)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/entire-vc-spark/spark#diagnostics

## Score history

- 2026-10-24: 84
- 2026-10-23: 84
- 2026-10-22: 83
- 2026-10-21: 83
- 2026-10-20: 82
- 2026-10-19: 82
- 2026-10-18: 81
- 2026-10-17: 81
- 2026-10-16: 80
- 2026-10-15: 80
- 2026-10-14: 79
- 2026-10-13: 79
- 2026-10-12: 78
- 2026-10-10: 78
- 2026-10-05: 75
- 2026-10-04: 75
- 2026-10-03: 74
- 2026-10-02: 75
- 2026-10-01: 74
- 2026-09-30: 74
- 2026-09-29: 73
- 2026-09-28: 73
- 2026-09-27: 65
- 2026-09-26: 65
- 2026-09-25: 23
- 2026-09-24: 65
- 2026-09-23: 64

## Common questions

### What is the Spark - AI Assets Marketplace MCP server?

Spark - AI Assets Marketplace is an MCP server listed in the public MCP registry as io.github.entire-vc/spark. Search and fetch AI agents, skills, prompts and MCP connectors from the Spark marketplace. This page covers its hosted endpoint (https://spark.entire.vc/mcp/).

### Is the Spark - AI Assets Marketplace MCP server safe to use?

Spark - AI Assets Marketplace scores 84 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Spark - AI Assets Marketplace MCP server expose?

Spark - AI Assets Marketplace exposes 6 tools: search_assets, get_asset, get_asset_content, report_outcome, list_popular, list_categories. Their descriptions and schemas cost roughly 1,350 tokens of context every time the server is loaded.

### Does the Spark - AI Assets Marketplace MCP server require authentication?

No. We connected to Spark - AI Assets Marketplace without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the Spark - AI Assets Marketplace MCP server still maintained?

Spark - AI Assets Marketplace is still listed as active in the MCP registry. We last reached this channel on 24 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://spark.entire.vc/mcp/
- Repository: https://github.com/entire-vc/evc-spark-mcp
- Website: https://spark.entire.vc/
- Changelog RSS feed: https://verifymcp.io/servers/entire-vc-spark/spark.xml
- Changelog JSON feed: https://verifymcp.io/servers/entire-vc-spark/spark.json
- HTML version of this page: https://verifymcp.io/servers/entire-vc-spark/spark