
Arquestra — Scientific Computing Orchestration
Orchestrate computational chemistry and HPC jobs from an AI agent via Arquestra’s remote MCP API when you scope or run scientific workflows.
Overview
io.github.Apertura-AI/arquestra is an MCP server for the Validate phase that orchestrates computational chemistry and HPC workflows via Apertura’s remote API with token auth.
What is this MCP server?
- Remote streamable-http MCP at api.apertura-ai.de/mcp/orchestration
- Bearer auth with Arquestra machine token (arqmt_…) or OAuth access token (arqoa_…)
- Positioned as scientific computing orchestration for chemistry and HPC
- Tokens generated at arquestra.ai workspace setup
- Version 0.2.0; plugin source on GitHub (Apertura-AI/arquestra-claude-plugin)
- Server version 0.2.0 in registry metadata
- Remote URL https://api.apertura-ai.de/mcp/orchestration (streamable-http)
- Auth via Bearer arquestra_token (arqmt_… or arqoa_… formats documented)
What problem does it solve?
Designing and running chemistry or HPC pipelines from a chat agent usually breaks on missing orchestration APIs and opaque cluster interfaces.
Who is it for?
Research-oriented solo builders or tiny labs validating simulation workflows with Claude Code and managed Arquestra workspaces.
Skip if: Typical indie SaaS, marketing sites, or builders without scientific computing or HPC requirements.
What do I get? / Deliverables
After you register the remote MCP with an Arquestra token, your agent can call orchestration tools on api.apertura-ai.de instead of one-off scripts.
- Authenticated remote MCP connection to Arquestra orchestration API
- Agent-callable scientific workflow orchestration surface
- Repeatable token-based access pattern (v0.2.0 remote)
Recommended MCP Servers
Journey fit
Validate/scope is the canonical shelf because Arquestra helps define and prove feasible simulation pipelines before you commit heavy build and operate costs on clusters. scope fits workflow design, resource planning, and token-backed orchestration decisions—not casual content or storefront integrations.
How it compares
Hosted scientific orchestration MCP, not a local npm devtools server or Web3 diligence API.
Common Questions / FAQ
Who is io.github.Apertura-AI/arquestra for?
It is for people running computational chemistry or HPC workflows who want AI agents to orchestrate jobs through Arquestra’s MCP remote.
When should I use io.github.Apertura-AI/arquestra?
Use it when scoping or executing scientific pipelines—especially during Validate and early Build—once you have an arquestra.ai token and a clear orchestration need.
How do I add io.github.Apertura-AI/arquestra to my agent?
Generate a machine token at arquestra.ai, add the streamable-http remote https://api.apertura-ai.de/mcp/orchestration with Authorization Bearer {arquestra_token}, and enable the server in Claude Code or your MCP client.