# Oracle Vector Store

> Use this tool when you need to perform semantic searches on large document collections using natural language queries, and require enterprise-grade security and integration with Oracle Database infrastructure. It solves problems in knowledge base management, document retrieval, and research applications by enabling conversational language searches with vector embeddings. The tool accepts natural language queries as input and returns relevant document content as output, making it ideal for use cases where users need to quickly find specific information within vast document collections.

Canonical page: https://skillsregistry.net/skills/luigisaetta-oracle-vector-store  
JSON: https://api.skillsregistry.net/v1/skills/luigisaetta-oracle-vector-store

## Description

This MCP server provides semantic search capabilities over Oracle Vector Store databases, enabling natural language queries against document collections stored in Oracle Database with vector embeddings. Built by Luigi Saetta, it integrates Oracle's vector database technology with OCI GenAI services for embeddings and includes optional JWT-based authentication through Oracle Identity Cloud Service for enterprise security. The implementation offers two variants: a standard semantic search tool that returns full document content, and a Deep Research-compatible version that follows OpenAI's specification with separate search and fetch operations for integration with ChatGPT's research workflows. It's particularly valuable for enterprise knowledge bases, document retrieval systems, and research applications where users need to query large document collections using conversational language while maintaining enterprise-grade security and leveraging Oracle's database infrastructure.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/luigisaetta-oracle-vector-store)
- **Repository:** <https://github.com/luigisaetta/mcp-oci-integration>

## 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": "luigisaetta-oracle-vector-store"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/luigisaetta-oracle-vector-store` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/luigisaetta-oracle-vector-store/pull`

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