CLIO Jarvis
Let your coding agent define, schedule, and manage Jarvis-CD HPC pipelines from chat instead of SSHing into cluster consoles.
Overview
CLIO Jarvis is an Operate-phase MCP server that exposes Jarvis-CD high-performance computing pipeline management to AI coding agents.
What is this MCP server?
- Jarvis-CD pipeline management exposed as MCP tools over stdio (CLIO Kit 2.2.3)
- End-to-end workflow operations for high-performance computing environments
- PyPI package clio-kit with GitHub source at iowarp/clio-kit
- Suited to agents that need programmatic pipeline create/update/run context
- Complements manual cluster CLIs with conversational orchestration
- Server schema version 2.2.3
- Transport: stdio
- Package: clio-kit on PyPI
Community signal: 25 GitHub stars.
What problem does it solve?
Managing Jarvis-CD pipelines from shells and static docs is slow and error-prone when an agent is helping you tune batch workflows on a cluster.
Who is it for?
Indie or solo technical founders running Jarvis-CD on university, lab, or cloud HPC who want agent-assisted pipeline iteration without leaving the IDE.
Skip if: Builders with no HPC footprint, pure serverless SaaS without batch pipelines, or teams that cannot install PyPI-based MCP servers locally.
What do I get? / Deliverables
After you register the server, your agent can invoke Jarvis-CD-oriented tools to align pipeline edits with how jobs actually run on HPC infrastructure.
- Registered CLIO Jarvis MCP server in your agent
- Agent-callable tools for Jarvis-CD pipeline workflow operations
- Stdio-based integration aligned with clio-kit 2.2.3 schema
Recommended MCP Servers
Journey fit
Pipeline orchestration on high-performance clusters is production operations work: jobs run continuously after the product code exists. Infra is the canonical shelf because Jarvis-CD governs compute workflows, resource binding, and pipeline lifecycle on shared HPC systems.
How it compares
HPC pipeline MCP integration, not a generic CI/CD skill or cloud dashboard replacement.
Common Questions / FAQ
Who is io.github.iowarp/jarvis-mcp for?
It is for developers and researchers who use Jarvis-CD on high-performance computing systems and want Claude Code, Cursor, or Codex to help manage those pipelines via MCP.
When should I use io.github.iowarp/jarvis-mcp?
Use it during operate and infra iteration when you need conversational control over Jarvis-CD workflow definitions, runs, or maintenance on a cluster you already access.
How do I add io.github.iowarp/jarvis-mcp to my agent?
Install the clio-kit package from PyPI (version 2.2.3), configure the MCP entry for io.github.iowarp/jarvis-mcp with stdio transport, and point your agent’s MCP config at that server per your editor’s docs.