An MCP server for GEOScore - the AI search optimization platform. Scan any website for GEO (Generative Engine Optimization) readiness and get actionable fixes.
GEO = making your website visible to AI search engines like ChatGPT, Perplexity, Claude, and Gemini.
GEO (Generative Engine Optimization) is the practice of optimizing websites to be discovered and cited by AI search engines like ChatGPT, Perplexity, and Claude.
| Tool | Description | Auth Required |
|---|---|---|
geo_scan |
Scan a domain for AI search readiness (score, grade, 11 checks) | No |
geo_deep_scan |
Full pro analysis with implementation report | API Key (Pro) |
geo_generate_fix |
Generate fix code (llms.txt, schema, meta, robots, sitemap) | API Key |
geo_get_profile |
Get domain score history and profile | No |
geo_compare |
Compare two domains side by side | No |
geo_check_visibility |
Check AI search engine citations | API Key (Pro) |
geo_get_report |
Retrieve a saved scan report | No |
geo_create_api_key |
Create a free API key | No |
geoscore://guides/what-is-geo- Introduction to GEOgeoscore://guides/llms-txt- How to create llms.txtgeoscore://guides/schema-for-ai- Schema.org for AI searchgeoscore://guides/robots-for-ai- robots.txt for AI crawlers
geo-optimize- Complete scan -> analyze -> fix -> apply workflowgeo-audit- Comprehensive GEO audit with prioritized recommendationsgeo-compare- Competitive GEO analysis between two domains
npm install -g geoscore-mcpAdd to your .mcp.json:
{
"mcpServers": {
"geoscore": {
"command": "npx",
"args": ["-y", "geoscore-mcp"],
"env": {
"GEOSCORE_API_KEY": "your-api-key-here"
}
}
}
}Add to Cursor Settings > MCP Servers:
{
"geoscore": {
"command": "npx",
"args": ["-y", "geoscore-mcp"],
"env": {
"GEOSCORE_API_KEY": "your-api-key-here"
}
}
}Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"geoscore": {
"command": "npx",
"args": ["-y", "geoscore-mcp"]
}
}
}Use the geo_create_api_key tool or visit https://geoscoreai.com/api-keys.
Free keys include 10 scans/day. Pro keys unlock deep scans, fix generation, and visibility checks.
"Scan example.com for AI search readiness"
-> Agent calls geo_scan
"Optimize my website for AI search engines"
-> Agent uses geo-optimize prompt
-> Scans -> Identifies issues -> Generates fixes -> Applies to project
"Compare my GEO score against competitor.com"
-> Agent calls geo_compare
"Generate an llms.txt file for my site"
-> Agent calls geo_generate_fix with fix_type="llms_txt"
-> Writes the file to project root
Base URL: https://api.geoscoreai.com
Full OpenAPI spec: https://geoscoreai.com/openapi.json
MIT