# Jina Supabase RAG

> Use this tool when you need to extract and index large amounts of content from documentation websites, and require intelligent semantic search capabilities. It solves problems of information overload and difficult content discovery by crawling, extracting, and indexing relevant documents, and providing vector similarity search with project-based filtering. The tool takes in URLs and website structures as input, and outputs indexed documents with generated embeddings, allowing for efficient and accurate search and retrieval of relevant information.

Canonical page: https://skillsregistry.net/skills/croakingtoad-jina-supabase-rag  
JSON: https://api.skillsregistry.net/v1/skills/croakingtoad-jina-supabase-rag

## Description

A documentation crawling and indexing server by Marty Martin that combines Jina AI's Reader API with Crawl4AI for intelligent content extraction and stores processed documents in Supabase with pgvector for semantic search. The implementation features multi-strategy URL discovery (sitemap parsing, recursive crawling), dual extraction methods with automatic fallback, intelligent text chunking by headers and paragraphs, OpenAI embedding generation, and vector similarity search with project-based filtering.

## Trust

- **Trust score (0–1):** 0.72
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/croakingtoad-jina-supabase-rag)
- **Repository:** <https://github.com/croakingtoad/mcp-jina-supabase-rag>

## 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": "croakingtoad-jina-supabase-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/croakingtoad-jina-supabase-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/croakingtoad-jina-supabase-rag/pull`

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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