Connect to Spark AI Catalog
Connect to the Spark MCP server to discover AI assets from Entire VC Spark. Search, retrieve, and list assets.
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Why it matters
Access and discover a vast catalog of AI assets from the Entire VC Spark platform. Seamlessly integrate with your AI tools to find, retrieve, and utilize a wide range of prompts, skills, and models.
Outcomes
What it gets done
Search the Spark catalog by query, type, or domain.
Retrieve detailed information about specific AI assets using their slugs.
Access the raw content of prompts and skills.
Discover top-performing assets based on download counts.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/spark-mcp-server | bash Reviews
What people say after installing
Capabilities
Tools your agent gets
Search the catalog by query, type, domain
Get full asset details by slug
Get raw prompt/skill content
Top assets by downloads
Available domains and LLM tags
Overview
Spark MCP Server
What it does
This connector allows you to access the Spark MCP server, which provides a catalog of AI assets from Entire VC Spark.
How it connects
Use this connector when you need to discover and access AI assets available through the Entire VC Spark platform.
Source README
Spark MCP Server
MCP (Model Context Protocol) server for discovering AI assets from the Entire VC Spark .
Tools
| Tool | Description |
|---|---|
search_assets |
Search the catalog by query, type, domain |
get_asset |
Get full asset details by slug |
get_asset_content |
Get raw prompt/skill content |
list_popular |
Top assets by downloads |
list_categories |
Available domains and LLM tags |
Resources
| URI | Description |
|---|---|
spark://assets/{slug} |
Asset content as markdown |
spark://catalog/{type} |
Asset list by type |
Connection Options
Option 1: Remote (recommended)
No installation required. Connect directly to the hosted MCP server:
Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"spark": {
"url": "https://spark.entire.vc/mcp/"
}
}
}
Claude Code (.claude/settings.json):
{
"mcpServers": {
"spark": {
"url": "https://spark.entire.vc/mcp/"
}
}
}
To enable paid content access, add your Bearer token:
{
"mcpServers": {
"spark": {
"url": "https://spark.entire.vc/mcp/",
"headers": {
"Authorization": "Bearer <your-jwt-token>"
}
}
}
}
Option 2: Local (stdio)
Install and run locally via Node.js:
cd mcp-server
npm install
npm run build
Claude Desktop:
{
"mcpServers": {
"spark": {
"command": "node",
"args": ["/absolute/path/to/evc-spark/mcp-server/dist/index.js"]
}
}
}
Claude Code:
{
"mcpServers": {
"spark": {
"command": "node",
"args": ["/absolute/path/to/evc-spark/mcp-server/dist/index.js"]
}
}
}
Environment Variables (local mode only)
| Variable | Default | Description |
|---|---|---|
SPARK_API_URL |
https://spark.entire.vc/api/v1 |
Spark API base URL |
SPARK_SITE_URL |
https://spark.entire.vc |
Spark site URL (for links) |
Trust
How it checks out
Discussion
Questions & comments · 0
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