MCP Featured

Connect to Spark AI Catalog

Connect to the Spark MCP server to discover AI assets from Entire VC Spark. Search, retrieve, and list assets.


97
Spark score
out of 100
Rating 5.0 (1)
Status Verified Official
Updated 4 months ago
Version 1.0.0

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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

01

Search the Spark catalog by query, type, or domain.

02

Retrieve detailed information about specific AI assets using their slugs.

03

Access the raw content of prompts and skills.

04

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

5.0
1 ratings

Capabilities

Tools your agent gets

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

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

Verified 1 rating
Official By maintainer
Downloads 84

Discussion

Questions & comments · 0

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