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IoWarp MCPs

MCP server bringing AI practically to science with seamless integration with AI agents and LLMs for scientific workflows.

Overview​

IoWarp MCPs provides Model Context Protocol servers that enable AI agents to perform data management, I/O operations, and scientific computing tasks at scale. Works seamlessly with Claude, DSPy, and other agent frameworks.

Key Features​

  • Model Context Protocol Support: Standards-compliant MCP servers for AI agents
  • Scientific Data Management: Handle large-scale scientific datasets with AI
  • Multi-Framework Compatibility: Works with Claude, DSPy, and custom agent implementations
  • I/O Operations at Scale: Intelligent data movement and caching for large workflows
  • Agent-Ready: Designed specifically for agentic scientific computing workflows

Technology Stack​

  • Language: Python
  • Tags: MCP, AI Agents, Science AI, HPC, Model Context Protocol
  • Source Organization: IoWarp

Repository​

📦 GitHub: iowarp/iowarp-mcps

Use Cases​

  • Agentic scientific workflows with Claude or other LLMs
  • Automated data analysis and processing pipelines
  • AI-driven HPC task orchestration
  • Intelligent resource management for scientific computing

Getting Started​

Visit the IoWarp MCPs GitHub repository for installation, documentation, and examples of integrating with AI agents.

Status​

Production - Stable and actively maintained