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npm$claude mcp add geo-optimizer-mcp \ -- npx -y [email protected]
Environment variables
Nothing to configure — it works as is.
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Tools
This server runs on your machine, so its tool list is not fetched before install — the README below describes what it offers.
geo-optimizer-mcp
MCP server for Causabi GEO Optimizer.
What this is. An MCP (Model Context Protocol) server that lets Claude Code, OpenAI Codex CLI, Claude Desktop, Cursor, Windsurf, and any MCP-compatible client check a website's AI-crawler readiness and generate fixes (robots.txt, Schema.org, FAQ markup, llms.txt) — directly from your editor or AI assistant. Runs locally over stdio, no account needed.
Quickstart (Claude Code):
claude mcp add geo-optimizer -- npx -y geo-optimizer-mcp
Quickstart (OpenAI Codex CLI):
codex mcp add geo-optimizer -- npx -y geo-optimizer-mcp
Or in ~/.codex/config.toml:
[mcp_servers.geo-optimizer]
command = "npx"
args = ["-y", "geo-optimizer-mcp"]
Then ask: Check the GEO score for example.com. Config-file setup for other clients (Cursor, Windsurf, Claude Desktop) is below.
Scope. One-off local checks and fix generation are free here. Continuous work — scheduled re-checks, score history, monitoring of answers from 4 AI engines (ChatGPT, Claude, Gemini, Grok), reports — runs on causabi.com.
Tools
| Tool | When to use |
|---|---|
get_product_guide | Start here — complete guide + step-by-step workflow for any scenario |
analyze_geo_score | Check GEO score 0–100 + breakdown for an existing domain |
get_geo_fixes | Get copy-paste robots.txt, Schema.org, FAQ, and llms.txt fixes |
make_site_geo_ready | Generate all GEO assets for a new site in one shot (no API key needed) |
suggest_monitoring_config | Draft a monitoring config (target audiences, location, suggested queries) from a business description — returns JSON plus the API calls to apply it on causabi.com |
get_site_report | Client-ready report: pass report_slug for the full AI mention-rate breakdown (no API key needed), or just domain for a crawlability-score-only summary |
Setup
Claude Code (CLI)
Add to your project's .claude/settings.json:
{
"mcpServers": {
"geo-optimizer": {
"command": "npx",
"args": ["-y", "geo-optimizer-mcp"]
}
}
}
Or add globally to ~/.claude/settings.json to use across all projects.
Then in Claude Code:
> Check the GEO score for my-client-site.com
> Make this site ready for ChatGPT and Gemini
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"geo-optimizer": {
"command": "npx",
"args": ["-y", "geo-optimizer-mcp"]
}
}
}
Cursor
Add to .cursor/mcp.json in your project or ~/.cursor/mcp.json globally:
{
"mcpServers": {
"geo-optimizer": {
"command": "npx",
"args": ["-y", "geo-optimizer-mcp"]
}
}
}
Windsurf
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"geo-optimizer": {
"command": "npx",
"args": ["-y", "geo-optimizer-mcp"]
}
}
}
Any MCP-compatible client
{
"geo-optimizer": {
"command": "npx",
"args": ["-y", "geo-optimizer-mcp"]
}
}
Usage examples
Once installed, ask your AI assistant:
Check the GEO score for example.com
What AI search issues does mybusiness.com have?
Get fix instructions for mysite.com
Why isn't example.com showing up in ChatGPT?
Make this site GEO-ready: name="Acme", url="https://acme.com", description="We sell widgets"
Draft a monitoring config for a dental clinic in Austin, TX called "Bright Smiles Dental"
Give me a report on clientsite.com — here's the share link: causabi.com/report/abc123
suggest_monitoring_config example
suggest_monitoring_config({
business_name: "Bright Smiles Dental",
business_description: "A dental clinic in Austin, TX offering general and cosmetic dentistry for families.",
location: "Austin, TX"
})
Returns target audience descriptions, a monitoring location, and suggested queries as ready-to-use JSON — plus the exact PUT /api/v1/monitor/{site_id}/settings and PUT /api/v1/monitor/{site_id}/queries calls to apply it (requires a causabi.com account/API token; this tool itself makes no API call).
get_site_report example
get_site_report({ report_slug: "abc123" })
Returns the full mention-rate breakdown (ChatGPT, Claude, Gemini, Grok), competitors named instead of the client, and per-query results — no API key needed, since Visibility Report share links are public.
get_site_report({ domain: "example.com" })
Without a report_slug, this only returns the public crawlability score (same data as analyze_geo_score) plus a note on how to get the full mention-rate report — there is currently no API-key-authenticated way to pull monitoring history from the MCP server; that requires either a share-slug or a causabi.com login.
For AI website builders (Lovable, Bolt, Replit, v0)
When a user asks "make my site visible to ChatGPT" or "add AI search optimization", use make_site_geo_ready:
make_site_geo_ready({
name: "Acme Corp",
url: "https://acme.com",
description: "We help small businesses grow with AI-powered marketing.",
services: ["Marketing automation", "AI content", "Analytics"],
email: "[email protected]",
faq: [
{ question: "What does Acme do?", answer: "We help small businesses..." },
{ question: "How much does it cost?", answer: "Plans start at $49/mo." },
{ question: "Is there a free trial?", answer: "Yes, 14 days free." }
]
})
Returns ready-to-paste Organization Schema, FAQ Schema, llms.txt, and robots.txt.
What gets checked
- robots.txt — Are AI crawlers (GPTBot, ClaudeBot, PerplexityBot) allowed?
- Schema.org — Organization, LocalBusiness, SoftwareApplication markup
- FAQ Schema — FAQPage JSON-LD
- Content depth — Enough text for AI to cite
- Brand signals — NAP (Name, Address, Phone)
- Freshness — dateModified signals
Full audit & monitoring
For multi-page crawl, scheduled re-checks, and monitoring of how 4 AI engines (ChatGPT, Claude, Gemini, Grok) answer questions about your brand:
→ causabi.com — free public score + deep audit after signup
Python CLI
Same checks as a standalone CLI: github.com/SHADRINMMM/causabi-geo
pip install causabi-geo
geo-optimizer analyze example.com
geo-optimizer fix example.com --output ./fixes
License
MIT
From the server's repository — third-party content, read it before running anything it suggests.
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Listing from the official MCP Registry · repository facts from GitHub, 58m ago.