Spark - AI Assets Marketplace
Search and fetch AI agents, skills, prompts and MCP connectors from the Spark marketplace.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"spark": {
"url": "https://spark.entire.vc/mcp/"
}
}
}Remote endpoints
https://spark.entire.vc/mcp/streamable-httpWhat it can do
Tool inventory
Tools (6)
🟢search_assets(query, job, type, domain, sort, ...)
Search the Spark AI assets marketplace for agents, skills, prompts, prompt chains, MCP connectors and bundles. Finds assets by text query, for when the slug is not known. Returns a numbered list of short summaries: title, type, downloads, outcome summary, price, tags and the asset's URL on spark.entire.vc.
Input Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search text (matches title and description)"
},
"job": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Job/task the agent is trying to accomplish. Enables job-based relevance ranking (e.g. 'review Python code', 'generate marketing copy', 'analyze data')."
},
"type": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Filter by asset type (agent, skill, prompt, prompt_chain, mcp_connector, bundle)"
},
"domain": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Filter by domain slug (e.g. 'development', 'marketing')"
},
"sort": {
"default": "combo",
"type": "string",
"description": "Sort order: combo, popular, newest, rating. 'combo' = combined quality+ratings+agent outcomes score (default)."
},
"limit": {
"default": 10,
"type": "integer",
"description": "Number of results (1-50, default 10)"
}
},
"required": [
"query"
],
"additionalProperties": false
}Output Schema
{
"type": "object",
"properties": {
"result": {
"type": "string"
}
},
"required": [
"result"
],
"x-fastmcp-wrap-result": true
}🟢get_asset(slug)
Get full details of a Spark asset by its slug — description, metadata, outcome reports, bundled files and the URL on spark.entire.vc. Takes a slug, for example from a search result, a popular list or a link. Returns the full picture of the asset. It does not return the prompt/skill/agent text itself; get_asset_content returns that.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Asset slug (e.g. 'vb-seo-expert', 'vb-python-expert')"
}
},
"required": [
"slug"
],
"additionalProperties": false
}Output Schema
{
"type": "object",
"properties": {
"result": {
"type": "string"
}
},
"required": [
"result"
],
"x-fastmcp-wrap-result": true
}🟢get_asset_content(slug)
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. Takes a slug. Unlike search_assets and get_asset, this counts as a download/acquisition event, and each call may return different content if the asset was updated. Paid assets require authentication: a Spark API key (X-API-Key header) or a Bearer token in the MCP client configuration. The response ends with an `application_id` line that identifies this fetch; report_outcome takes it as its `application_id` argument.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Asset slug"
}
},
"required": [
"slug"
],
"additionalProperties": false
}Output Schema
{
"type": "object",
"properties": {
"result": {
"type": "string"
}
},
"required": [
"result"
],
"x-fastmcp-wrap-result": true
}🟢report_outcome(application_id, result, task, changed_what, failed_at, ...)
Records the result of applying an asset that was fetched with get_asset_content: applied as is, applied with changes, broke, or not applicable. The report is tied to the application_id that get_asset_content returned; submitting the same application_id again updates the report. Reports made with an API key are counted; anonymous ones are stored as unverified. 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='<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').
Input Schema
{
"type": "object",
"properties": {
"application_id": {
"description": "The application_id at the end of the get_asset_content response.",
"type": "string"
},
"result": {
"description": "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).",
"enum": [
"applied_as_is",
"applied_with_changes",
"broke",
"not_applicable"
],
"type": "string"
},
"task": {
"description": "What you were trying to do, one phrase (≤ 200).",
"type": "string"
},
"changed_what": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "applied_with_changes: what you changed (≤ 200)."
},
"failed_at": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "broke: the step, tool or command that failed, and the error class (≤ 200)."
},
"expected": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "not_applicable: what you were looking for (≤ 200)."
},
"got": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "not_applicable: what it actually does (≤ 200)."
},
"note": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Anything else worth knowing (≤ 300)."
},
"model": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "The model you run on, if you know it. Shown, never ranked."
}
},
"required": [
"application_id",
"result",
"task"
],
"additionalProperties": false
}Output Schema
{
"type": "object",
"properties": {
"result": {
"type": "string"
}
},
"required": [
"result"
],
"x-fastmcp-wrap-result": true
}🟢list_popular(type, limit)
List the most popular Spark assets by download count, optionally filtered by type. Takes no search text; it returns the current top of the catalog by downloads.
Input Schema
{
"type": "object",
"properties": {
"type": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Filter by asset type (agent, skill, prompt, prompt_chain, mcp_connector, bundle)"
},
"limit": {
"default": 10,
"type": "integer",
"description": "Number of results (1-20, default 10)"
}
},
"additionalProperties": false
}Output Schema
{
"type": "object",
"properties": {
"result": {
"type": "string"
}
},
"required": [
"result"
],
"x-fastmcp-wrap-result": true
}🟢list_categories
List available categories (domains and AI tags) in the Spark marketplace. Returns the domain slugs that search_assets accepts as its `domain` filter, and the AI tags, as a taxonomy of the catalog. Example: list_categories()
Input Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}Output Schema
{
"type": "object",
"properties": {
"result": {
"type": "string"
}
},
"required": [
"result"
],
"x-fastmcp-wrap-result": true
}Community
Evidence