Server data from the Official MCP Registry
Search and fetch AI agents, skills, prompts and MCP connectors from the Spark marketplace.
About
Search and fetch AI agents, skills, prompts and MCP connectors from the Spark marketplace.
Remote endpoints: streamable-http: https://spark.entire.vc/mcp/
Security Report
Valid MCP server (3 strong, 3 medium validity signals). 4 known CVEs in dependencies (0 critical, 4 high severity) Imported from the Official MCP Registry. Trust signals: trusted author (3/3 approved).
6 tools verified · Open access · 4 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-entire-vc-spark": {
"url": "https://spark.entire.vc/mcp/"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Spark MCP
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 |
Community
License
MIT — Copyright (c) 2026 Entire VC
Reviews
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