# Arquestra

> Use this tool when you need to manage complex computational chemistry tasks and high-performance computing workflows, solving problems such as workflow orchestration and compute resource allocation. Arquestra provides inputs for creating and managing compute runs, and outputs workflow state and machine listings, all secured through OAuth 2.0 PKCE authentication. Ideal for scientific computing applications requiring efficient workflow management and HPC resource utilization.

Canonical page: https://skillsregistry.net/skills/apertura-ai-arquestra  
JSON: https://api.skillsregistry.net/v1/skills/apertura-ai-arquestra

## Description

Arquestra is an AI orchestration platform for scientific computing, enabling management of computational chemistry tasks and high-performance computing (HPC) workflows. The MCP server exposes tools for creating and managing compute runs, listing machines, and retrieving workflow state. Authentication uses OAuth 2.0 PKCE with tokens managed locally.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/apertura-ai-arquestra)
- **Repository:** <https://github.com/apertura-ai/arquestra-claude-plugin>

## 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": "apertura-ai-arquestra"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/apertura-ai-arquestra` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/apertura-ai-arquestra/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