# Oil & Gas RAG

> Use this tool when you need to access and analyze oil and gas industry data, generate insights, and detect anomalies in operational data, such as drilling events, production data, and HSSE incidents. It provides a comprehensive interface for data retrieval, document search, and timeseries analytics, with inputs including query parameters and outputs featuring real-time chat streaming and anomaly detection results. Ideal for petroleum engineers, procurement teams, and safety personnel seeking to optimize operations and inform data-driven decisions.

Canonical page: https://skillsregistry.net/skills/oil-gas-rag  
JSON: https://api.skillsregistry.net/v1/skills/oil-gas-rag

## Description

This MCP server provides oil and gas industry data access and retrieval-augmented generation (RAG) capabilities through a Go-based backend with MySQL storage and OpenAI integration. Built with Chi router and featuring comprehensive domain-specific tools, it offers access to drilling events, production data, purchase orders, timeseries analytics, work orders, and HSSE incidents, along with document search through hybrid vector/full-text retrieval and anomaly detection using z-score analysis. The implementation includes a React frontend with real-time chat streaming, JWT-based admin authentication, Docker deployment with separate API and worker services, and MCP tool registry supporting both in-process execution and HTTP endpoints, making it valuable for petroleum engineers analyzing operational data, procurement teams tracking purchase orders, and safety personnel monitoring incidents across drilling and production operations.

## Trust

- **Trust score (0–1):** 0.57
- **Verification tier:** scanned
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/oil-gas-rag)
- **Repository:** <https://github.com/kukuhtw/mcp_rag_go>

## 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": "oil-gas-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/oil-gas-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/oil-gas-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