# qe2mcp

> qe2mcp — mitsuaki1987-qe2mcp. Use this tool when you need to convert Quantum ESPRESSO output files to a structured format for easier analysis and integration with other tools. It solves the problem of parsing and accessing Quantum ESPRESSO data by converting it to JSON and serving it via an HTTP API. The tool takes Quantum ESPRESSO output files as input and outputs JSON data, making it ideal for use cases that require programmatic access to simulation results.

Canonical page: https://skillsregistry.net/skills/mitsuaki1987-qe2mcp  
JSON: https://api.skillsregistry.net/v1/skills/mitsuaki1987-qe2mcp

## Description

Converts Quantum ESPRESSO output files to structured JSON and serves them via an HTTP API for use with MCP clients.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ou3cc5k6fb)
- **Repository:** <https://github.com/mitsuaki1987/qe2mcp>

## 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": "mitsuaki1987-qe2mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mitsuaki1987-qe2mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mitsuaki1987-qe2mcp/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