Give your AI a research team. Forecast, score, classify, or research every row of a dataset.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add everyrow --env EVERYROW_API_KEY='<EVERYROW_API_KEY>' -- uvx everyrow-mcp~/.codex/config.toml
[mcp_servers.everyrow]
command = "uvx"
args = ["everyrow-mcp"]
env = { EVERYROW_API_KEY = "<EVERYROW_API_KEY>" }
# codex mcp add everyrow --env EVERYROW_API_KEY='<EVERYROW_API_KEY>' -- uvx everyrow-mcp~/.cursor/mcp.json
{
"mcpServers": {
"everyrow": {
"command": "uvx",
"args": [
"everyrow-mcp"
],
"env": {
"EVERYROW_API_KEY": "<EVERYROW_API_KEY>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"everyrow": {
"type": "stdio",
"command": "uvx",
"args": [
"everyrow-mcp"
],
"env": {
"EVERYROW_API_KEY": "<EVERYROW_API_KEY>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"everyrow": {
"command": "uvx",
"args": [
"everyrow-mcp"
],
"env": {
"EVERYROW_API_KEY": "<EVERYROW_API_KEY>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"everyrow": {
"command": "uvx",
"args": [
"everyrow-mcp"
],
"env": {
"EVERYROW_API_KEY": "<EVERYROW_API_KEY>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"everyrow": {
"command": "uvx",
"args": [
"everyrow-mcp"
],
"env": {
"EVERYROW_API_KEY": "<EVERYROW_API_KEY>"
}
}
}
}Environment variables
EVERYROW_API_KEY
Replace the placeholders with your own credentials and keep them out of version control.