# mcp-crawl4ai2vectordb

> mcp-crawl4ai2vectordb — utaschulz1-mcp-crawl4ai2vectordb. Use this tool when you need to crawl web documentation and store it in a structured database for efficient querying and analysis. It solves problems related to information retrieval and knowledge management by providing a centralized repository of web documentation. The tool takes web pages as input and outputs a populated Supabase vector database for AI model training and other applications.

Canonical page: https://skillsregistry.net/skills/utaschulz1-mcp-crawl4ai2vectordb  
JSON: https://api.skillsregistry.net/v1/skills/utaschulz1-mcp-crawl4ai2vectordb

## Description

MCP server for crawling web documentation and storing it in a Supabase vector database.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nb972poceq)
- **Repository:** <https://github.com/utaschulz1/mcp_crawl4ai2vectordb>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "utaschulz1-mcp-crawl4ai2vectordb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/utaschulz1-mcp-crawl4ai2vectordb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/utaschulz1-mcp-crawl4ai2vectordb/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt