7 hours ago
Most SEO and analytics MCP servers hand the raw rows back to the model: thousands of query/page records streamed into the context window for the LLM to crunch. Language models are not built for arithmetic over large tables. They are slow at it, they burn tokens doing it, and they make mistakes (dropped rows, miscounted sums, hallucinated totals) that are hard to catch.
GSC Wizard does the opposite. Every analysis (CTR curves, decay detection, cannibalization, opportunity scoring, path breakdowns, ranking changes, full SEO reports) is computed in server-side Python and SQL, against the data warehouse, before anything reaches the model. The tool returns the finished result, not the raw input.
Server Config
{
"mcpServers": {
"gsc-wizard": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://mcp.gscwizard.com/mcp",
"--header",
"Authorization:${AUTH_HEADER}"
],
"env": {
"AUTH_HEADER": "Bearer gscw_live_..."
}
}
}
}