# GeoSchlor

> Use this tool when you need to streamline geoscience research by searching and enriching metadata across multiple databases. GeoSchlor solves the problem of fragmented literature searches by providing a unified interface for querying petroleum engineering, geophysics, and earth science literature. It takes in search queries and returns enriched metadata from major geoscience databases, ideal for researchers seeking to efficiently discover relevant information.

Canonical page: https://skillsregistry.net/skills/luskb-geoschlor  
JSON: https://api.skillsregistry.net/v1/skills/luskb-geoschlor

## Description

Provides unified literature search and metadata enrichment across major geoscience databases including CNKI, GEOPHYSICS, Petrophysics, OnePetro, SPE, SPWLA, EAGE, AAPG, Wanfang, and CQVIP. Built for geoscience researchers who need to query petroleum engineering, geophysics, and earth science literature from a single interface.

## Trust

- **Trust score (0–1):** 0.93
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/luskb-geoschlor)
- **Repository:** <https://github.com/luskb/geoschlor-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": "luskb-geoschlor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/luskb-geoschlor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/luskb-geoschlor/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