AI Visibility Scorecard
mxcp.dev · Technology
Somewhat visible. AI bots can read MXCP, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 9 times
Meta AI · Claude · Apple Intelligence
#269,518 of 2,707,790 in Technology for AI visibility
6
AEO Visibility
iBorderline · 5.7/10
75
Muse Index Score
iAI agent readiness
Transactable · 75/100
4
AI Adoption
iBasic · 4/100
from our crawl and measurement
MXCP describes itself simply: "Build production-ready MCP servers with SQL or Python. Enterprise security, audit trails, policy enforcement, dbt integration, and observability built-in." To AI engines like ChatGPT and Perplexity it is partially visible, scoring 5.7 out of 10, readable in places and missing in others.
Our crawl found structured data on the page (SoftwareApplication, Organization, FAQPage) and an llms.txt file for AI models. It is missing a sitemap and a heading structure that lays out what it offers.
AI crawlers have visited 2 times in our tracking, including ClaudeBot (Anthropic).
Strong · Good · Fair · Weak
Structured Data
Strong
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Good
Clear headings and answer-style content.
Entity Clarity
Good
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Weak
Experience, Expertise, Authority, Trust markers.
Technical AEO
Good
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Good
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Weak
No inbound links found yet.
Domain Authority
Fair
Established authority for your domain.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Weak
No community discussion yet.
Social Mentions
Weak
No social discussion found yet.
Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 5.7/10, MXCP has a working base to build on - fixable, and the signals above are where to start.
What is MXCP and how does it differ from other MCP servers?
MXCP (Model eXtension Context Protocol) is an enterprise-grade MCP server built specifically for production environments. Unlike simple data access tools, MXCP provides enterprise security, audit logging, policy enforcement, dbt integration, and comprehensive data governance.
How quickly can I get started with MXCP?
You can get MXCP running in under 60 seconds. Simply install via pip (pip install mxcp), create a project (mxcp init --bootstrap), and start serving (mxcp serve).
What databases does MXCP support?
MXCP supports PostgreSQL, MySQL, SQLite, DuckDB, CSV files, JSON files, APIs, and cloud storage. It also has native dbt integration for data transformation and caching.
Is MXCP free to use?
MXCP is released under the Business Source License 1.1 (BSL). It is free to use for development, testing, and most production scenarios.
Is this your brand?
The exact fixes for MXCP
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.
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Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/mxcp-dev
Cite this score: Engagemii (2026). "AEO Score for MXCP." Retrieved from https://engagemii.com/aeo/brands/mxcp-dev
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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