Search and fetch AI agents, skills, prompts and MCP connectors from the Spark marketplace.
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io.github.entire-vc/spark is an MCP server that search and fetch AI agents, skills, prompts and MCP connectors from the Spark marketplace. Its tool list has not been published yet over http, requires no API key, and scores 87/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"spark": {
"args": [
"-y",
"evc-spark-mcp"
],
"command": "npx"
}
}
}Are you the author?
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Search and fetch AI agents, skills, prompts and MCP connectors from the Spark marketplace.
This server supports HTTP transport. Be the first to test it - help the community know if it works.
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
Checked evc-spark-mcp against OSV.dev.
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MCP server for Spark — your AI toolbox for real work. Search and discover agents, skills, prompts, bundles, and MCP connectors.
npx evc-spark-mcp
That's it. No API key needed.
claude mcp add spark -- npx -y evc-spark-mcp
Add to claude_desktop_config.json:
{
"mcpServers": {
"spark": {
"command": "npx",
"args": ["-y", "evc-spark-mcp"]
}
}
}
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.
{
"mcpServers": {
"spark": {
"command": "npx",
"args": ["-y", "evc-spark-mcp"]
}
}
}
Any MCP-compatible client works — just point it at npx evc-spark-mcp.
| 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 |
| URI Pattern | Descr