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entire-vc/evc-spark-mcp

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Search a curated catalog of AI agents, skills, prompts, bundles and MCP connectors.

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About

Search a curated catalog of AI agents, skills, prompts, bundles and MCP connectors.

README

npm version License: MIT MCP Install via Spark Smithery

MCP server for Spark — your AI toolbox for real work. Search and discover agents, skills, prompts, bundles, and MCP connectors.


Quick Start

npx evc-spark-mcp

That's it. No API key needed.


Setup

Claude Code

claude mcp add spark -- npx -y evc-spark-mcp

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "spark": {
      "command": "npx",
      "args": ["-y", "evc-spark-mcp"]
    }
  }
}

Install in Cursor

This repository includes a Cursor plugin with a remote Spark MCP server and the use-spark skill. No Node.js process or API key is needed for anonymous access.

To test a local install:

git clone https://github.com/entire-vc/evc-spark-mcp.git
mkdir -p ~/.cursor/plugins/local/spark
cp -R evc-spark-mcp/.cursor-plugin evc-spark-mcp/mcp.json \
  evc-spark-mcp/server.json evc-spark-mcp/skills ~/.cursor/plugins/local/spark/

Restart Cursor or run Developer: Reload Window, then open Customize and confirm the use-spark skill and Spark MCP server. Enable the server if prompted; its tools include search_assets, get_asset, get_asset_content, and report_outcome. Try: “Find a Spark skill for reviewing Python code.” Local plugin imports must be allowed by your team administrator. Copy the files: Cursor skips symlinks whose target is outside ~/.cursor/plugins/local. See Cursor's local plugin instructions.

For optional authenticated access, set SPARK_API_KEY in the environment used to launch Cursor and restart it. mcp.json uses Cursor's ${env:SPARK_API_KEY} interpolation for X-API-Key; leave it unset or empty for anonymous access. Never put a key in the repository. Get a key from your Spark profile.

Plugin contents:

Path Purpose
.cursor-plugin/plugin.json Cursor manifest with explicit relative component paths
mcp.json Streamable HTTP connection to https://spark.entire.vc/mcp/
skills/use-spark/SKILL.md Search, inspect, fetch, apply, and report outcomes
server.json Remote server metadata; its version matches the plugin version

The plugin follows the hosted server version (4.0.4), independently of the npm stdio package version. When updating the hosted version, update server.json and the plugin manifest together; npm test checks that they match.

OpenClaw

{
  "mcpServers": {
    "spark": {
      "command": "npx",
      "args": ["-y", "evc-spark-mcp"]
    }
  }
}

ChatGPT (via MCP bridge)

Any MCP-compatible client works — just point it at npx evc-spark-mcp.


Tools

Tool Description
search_assets Search the Spark catalog by query, type, and domain
get_asset Get full details of an asset by slug
get_asset_content Get raw prompt/skill content (best for prompts and skills)
list_popular List most popular assets by download count
list_categories List available domains and AI tags for filtering
get_api_key_info Check your API key status and daily usage
report_outcome Report what happened when you applied fetched content: applied as is, applied with changes, broke, or not applicable

Resources

URI Pattern Description
spark://assets/{slug} Asset content as markdown
spark://catalog/{type} Asset list by type (agent, skill, prompt, etc.)

What's in the Catalog

Spark is a marketplace of AI workflow assets:

  • Agents — ready-to-use AI agent configurations
  • Skills — capabilities you can add to your agent (like this MCP server)
  • Prompts — tested prompt templates for specific tasks
  • Bundles — curated sets of tools that work together
  • MCP Connectors — integrations with external services

Find, share, and monetize AI tools — all in one place.


Configuration

Environment Variable Default Description
SPARK_API_URL https://spark.entire.vc/api/v1 Spark API base URL
SPARK_SITE_URL https://spark.entire.vc Spark website URL (for links)

Development

# Install dependencies
npm install

# Run in development mode
npm run dev

# Build
npm run build

# Test with MCP Inspector
npm run inspect

Part of the Entire VC Toolbox

Product What it does Link
Local Sync Vault ↔ AI dev tools sync repo
Team Relay Self-hosted collaboration server repo
Team Relay Sync Obsidian plugin for Team Relay install · repo
OpenClaw Skill AI agent ↔ vault access repo
Spark MCP ← you are here MCP server for Spark catalog this repo
evc-spark-mcp MCP server

Community

Find us in other directories

MCP Badge Glama Smithery

License

MIT — Copyright (c) 2026 Entire VC

from github.com/entire-vc/evc-spark-mcp

Installing entire-vc/evc-spark-mcp

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/entire-vc/evc-spark-mcp

FAQ

Is entire-vc/evc-spark-mcp MCP free?

Yes, entire-vc/evc-spark-mcp MCP is free — one-click install via Unyly at no cost.

Does entire-vc/evc-spark-mcp need an API key?

No, entire-vc/evc-spark-mcp runs without API keys or environment variables.

Is entire-vc/evc-spark-mcp hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install entire-vc/evc-spark-mcp in Claude Desktop, Claude Code or Cursor?

Open entire-vc/evc-spark-mcp on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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