QueryScope MCP
An AI SEO agent that integrates with your IDE to analyze your repository, identify buyer search intent, and track performance via Google Search Console. It allows agents to propose SEO strategies, execute specific optimization moves, and measure results against historical data without manual exports.
Endpoint and access
OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.
https://mcp.queryscope.dev/mcpWhat you can do with it
- Analyze repository content to identify high-value buyer search queries
- Track keyword rankings and performance metrics from Google Search Console
- Propose and execute specific on-page SEO changes
- Measure the impact of SEO changes over time using historical data
Connect from your client
Each snippet registers the same endpoint; pick the client you use.
Claude Code
claude mcp add --transport http queryscope-mcp https://mcp.queryscope.dev/mcpCodex
codex mcp add queryscope-mcp --url https://mcp.queryscope.dev/mcpCursor
{
"mcpServers": {
"queryscope-mcp": {
"url": "https://mcp.queryscope.dev/mcp"
}
}
}Cline
{
"mcpServers": {
"queryscope-mcp": {
"type": "streamableHttp",
"url": "https://mcp.queryscope.dev/mcp",
"disabled": false
}
}
}VS Code
{
"servers": {
"queryscope-mcp": {
"type": "http",
"url": "https://mcp.queryscope.dev/mcp"
}
}
}Gemini CLI
gemini mcp add --transport http queryscope-mcp https://mcp.queryscope.dev/mcpClaude Desktop
{
"mcpServers": {
"queryscope-mcp": {
"url": "https://mcp.queryscope.dev/mcp"
}
}
}Windsurf
{
"mcpServers": {
"queryscope-mcp": {
"serverUrl": "https://mcp.queryscope.dev/mcp"
}
}
}Ground your agent in cited data
QueryScope MCP gives your agent tools. Koskamo gives it reviewed, cited facts to check its answers against. Add it as a second MCP server; public reads need no API key.
Other ai and machine learning servers
Do you run QueryScope MCP?
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