# estudIA-MCP

> Use this tool when you need to perform semantic search and document similarity matching using natural language queries. The estudIA-MCP tool solves problems related to information retrieval and document analysis by providing a RAG-enabled interface that takes in natural language queries and returns relevant documents based on semantic similarity. It is ideal for use cases where you need to find related documents or answer complex questions using embedded knowledge.

Canonical page: https://skillsregistry.net/skills/jpaboytes-estudia-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jpaboytes-estudia-mcp

## Description

RAG-enabled MCP server that uses Google Gemini for embeddings and Supabase for vector storage, enabling semantic search and document similarity matching through natural language queries.

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u2l4xnrp97)
- **Repository:** <https://github.com/JpAboytes/estudIA-MCP>

## 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": "jpaboytes-estudia-mcp"
    }
  }
}
```

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