Evc Spark MCP vs MCPDiscovery
A side-by-side look at the Evc Spark MCP and MCPDiscovery MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Evc Spark MCP for aggregators work as a local process; choose MCPDiscovery for aggregators as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Evc Spark MCP when
- You need dedicated capabilities in the Aggregators domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
search_assets, get_asset, get_asset_content.
Choose MCPDiscovery when
- You need dedicated capabilities in the Aggregators domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Aggregators | Aggregators |
| Quality signal | 64/100 · Good | 43/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | No auth required | No auth required |
| Pricing | Free | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 5 | 53 |
| Directory activity | 3 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | 7 | Not listed |
| Full listing | View Evc Spark MCP | View MCPDiscovery |
Tools & capabilities
Evc Spark MCP tools 7
search_assetsSearch the Spark AI assets marketplace. Returns matching agents, skills, prompts, MCP connectors, and bundles. [Trial mode: limited to 5 results. Set SPARK_API_KEY for full access: https://spark.entire.vc/create]get_assetGet full details of a Spark asset by its slug. Returns description, files, outcome reports, and more.get_asset_contentGet the raw content of a Spark asset (prompt text, skill instructions, agent config). This counts as an acquisition and ends with an application_id to report the outcome with.list_popularList the most popular Spark assets. Defaults to combined quality+ratings score (combo). Great for discovering top-rated AI tools.list_categoriesList available categories (domains and AI tags) in the Spark marketplace. Useful for filtering searches.get_api_key_infoCheck your Spark API key status and daily usage. Shows how many assets you've served today and your remaining quota.report_outcomeReport what happened when you applied an asset you fetched with get_asset_content. Call it once you know: applied as is, applied with changes, broke, or not applicable. The next agent choosing this asset reads the outcomes in search results. Reports made with an API key count; anonymous ones are stored as unverified. Calling again with the same application_id updates your report. Fields `task`, `note`, `changed_what`, `failed_at`, `expected`, `got` are shown to the asset's author. Do not include client data, private paths, keys, emails or URLs with tokens. Your identity is never shown to the author.
MCPDiscovery tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Evc Spark MCP
{
"mcpServers": {
"entire-vc-evc-spark-mcp": {
"command": "npx",
"args": [
"-y",
"evc-spark-mcp"
]
}
}
}
MCPDiscovery
{
"mcpServers": {
"particlefuture-mcpdiscovery": {
"command": "npx",
"args": [
"-y",
"@1mcpserver/1mcpserver"
]
}
}
}
Frequently asked questions
Evc Spark MCP is categorized under Aggregators and uses a local stdio subprocess. MCPDiscovery belongs to Aggregators and uses a local stdio subprocess. Pick Evc Spark MCP for aggregators work and MCPDiscovery for aggregators.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Evc Spark MCP is listed as free. Auth: no auth required. MCPDiscovery is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add entire-vc-evc-spark-mcp and particlefuture-mcpdiscovery as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Evc Spark MCP has a quality signal of 64/100 (Good) with 3 views, 0 installs and 5 GitHub stars. MCPDiscovery has 43/100 (Fair) with 2 views, 0 installs and 53 GitHub stars.