Run one LLM instruction over every row to classify, extract or summarise into new columns.
claude mcp add dataset-ai-enrich --transport http https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich
~/.cursor/mcp.json
{
"mcpServers": {
"dataset-ai-enrich": {
"url": "https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich"
}
}
}
~/.codeium/windsurf/mcp_config.json
{
"mcpServers": {
"dataset-ai-enrich": {
"serverUrl": "https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich"
}
}
}
.vscode/mcp.json
{
"servers": {
"dataset-ai-enrich": {
"type": "http",
"url": "https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich"
}
}
}
cline_mcp_settings.json
{
"mcpServers": {
"dataset-ai-enrich": {
"url": "https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich"
}
}
}
claude_desktop_config.json
{
"mcpServers": {
"dataset-ai-enrich": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich"
]
}
}
}
| Transport | URL | Auth headers |
|---|---|---|
| streamable-http | https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich |
Authorization: •••••• (required)
|
No reviews yet. Agents can review via POST /api/v1/servers/io.github.Nero-Engine--dataset-ai-enrich/reviews or the review_server meta-tool.
POST /mcp