REPOGEO REPORT · LITE

coleam00/mcp-crawl4ai-rag

Default branch main · commit a1c16f67 · scanned 5/17/2026, 8:03:12 AM

GitHub: 2,160 stars · 574 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

22 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

1 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface coleam00/mcp-crawl4ai-rag, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition README H1 and opening paragraph to clarify 'MCP' and target audience

Why:

CURRENT

<h1 align="center">Crawl4AI RAG MCP Server</h1>

<p align="center">
  <em>Web Crawling and RAG Capabilities for AI Agents and AI Coding Assistants</em>
</p>

A powerful implementation of the Model Context Protocol (MCP) integrated with Crawl4AI and Supabase for providing AI agents and AI coding assistants with advanced web crawling and RAG capabilities.

COPY-PASTE FIX

<h1 align="center">Crawl4AI RAG Server for AI Agents (Model Context Protocol)</h1>

<p align="center">
  <em>Empower AI Agents and Coding Assistants with Advanced Web Crawling and Retrieval-Augmented Generation (RAG)</em>
</p>

This server provides a powerful implementation of the Model Context Protocol (MCP), integrating Crawl4AI and Supabase to equip AI agents and coding assistants with advanced web crawling and RAG capabilities.

hightopics#2

Add relevant topics to improve categorization

Why:

COPY-PASTE FIX

ai-agents, rag, web-crawling, llm, vector-database, model-context-protocol, ai-coding-assistants, knowledge-engine

mediumhomepage#3
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://github.com/coleam00/archon
```

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface coleam00/mcp-crawl4ai-rag

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

SerpAPI

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

SerpAPI · recommended 1×
Serper.dev · recommended 1×
Bing Web Search API · recommended 1×
microsoft/playwright · recommended 1×
crummy/BeautifulSoup · recommended 1×

CATEGORY QUERY
How can I give my AI agent up-to-date web knowledge for better responses?
you: not recommended
AI recommended (in order):
1. SerpAPI
2. Serper.dev
3. Bing Web Search API
4. Playwright (microsoft/playwright)
5. Beautiful Soup (crummy/BeautifulSoup)
6. Scrapy (scrapy/scrapy)
7. NewsAPI.org
8. GNews API
9. Wikipedia API
10. Wolfram Alpha API
11. OpenWeatherMap API
12. AccuWeather API
AI recommended 12 alternatives but never named coleam00/mcp-crawl4ai-rag. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools help scrape website content and store it for AI model context?
you: not recommended
AI recommended (in order):
1. Beautiful Soup 4 (BS4)
2. Requests
3. Scrapy
4. Playwright
5. Selenium
6. Apify
7. Cheerio
8. axios
9. node-fetch
10. Octoparse
11. ParseHub
12. Puppeteer
AI recommended 12 alternatives but never named coleam00/mcp-crawl4ai-rag. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
warn
Suggestion:
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of coleam00/mcp-crawl4ai-rag?
pass
AI did not name coleam00/mcp-crawl4ai-rag — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts coleam00/mcp-crawl4ai-rag in production, what risks or prerequisites should they evaluate first?
pass
AI named coleam00/mcp-crawl4ai-rag explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo coleam00/mcp-crawl4ai-rag solve, and who is the primary audience?
pass
AI did not name coleam00/mcp-crawl4ai-rag — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)

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HTML

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coleam00/mcp-crawl4ai-rag — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite