# opm-mcp

> Use this tool when you need to run reservoir simulations, inspect results, or automate workflows related to Open Porous Media (OPM) via natural language inputs. It provides direct access to the OPM reservoir simulation stack, enabling efficient simulation management and automation. Ideal for use cases requiring streamlined workflow automation and simulation result analysis in the oil and gas industry.

Canonical page: https://skillsregistry.net/skills/ojaogezi-opm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ojaogezi-opm-mcp

## Description

Provides Claude with direct access to the Open Porous Media (OPM) reservoir simulation stack, enabling running simulations, inspecting results, and automating workflows via natural language.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vn6moav110)
- **Repository:** <https://github.com/ojaogezi/opm-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": "ojaogezi-opm-mcp"
    }
  }
}
```

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

---
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