entire-vc/evc-spark-mcp

MCP server for Spark — your AI toolbox for real work. Search and discover agents, skills, prompts, bundles, and MCP connectors.
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Quick Start
That's it. No API key needed.
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Setup
Claude Code
Claude Desktop
Add to claude_desktop_config.json:
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:
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
ChatGPT (via MCP bridge)
Any MCP-compatible client works — just point it at npx evc-spark-mcp.
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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.) |
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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)