- Gsc Wizard Mcp
Gsc Wizard Mcp
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_..."
}
}
}
}Project Info
Created At
an hour agoUpdated At
an hour agoAuthor Name
Jan-Willem BobbinkStar
-Language
-License
-Homepage
https://mcp.gscwizard.com/Recommend Servers
View AllLivonian
8 hours ago
Synx
21 hours ago
Thousand Api
a day ago
PlayerOS
@movaMedia-Inc
a day ago
Podstow
11 hours ago
Gadgethumans Api Hub
2 days ago
Perseus Live Context Engine
@tcconnally
12 hours ago
Gotfreefax Mcp
@vannet
14 hours ago
Livonian
6 hours ago
Kangram
19 hours ago
Tavily Mcp
@tavily-ai
JavaScript
a year ago
Mcp Server Chatsum
@chatmcp
summarize chat message
typescript
a year ago
Perseus — Live Context Engine
@tcconnally
12 hours ago
mcp-server-flomo MCP Server
@chatmcp
Write notes to Flomo
JavaScript
a year ago
Sentiment Analyzer
@DON-VXNKS
11 hours ago