CLIO Kit - Part of the IoWarp platform's tooling layer for AI agents. A comprehensive collection of tools, skills, plugins, and extensions. Currently featuring 15+ Model Context Protocol (MCP) servers for scientific computing, with plans to expand to additional agent capabilities. Enables AI agents to interact with HPC resources, scientific data formats, and research datasets.
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Working with scientific data and HPC resources requires manual scripting and tool-specific knowledge:
- ❌ Write custom scripts for every HDF5/Parquet file exploration
- ❌ Manually craft Slurm job submission scripts
- ❌ Switch between multiple tools for data analysis
- ❌ No AI assistance for scientific workflows
- ❌ Repetitive coding for common research tasks
AI agents handle scientific computing tasks through natural language:
- ✅ "Analyze the temperature dataset in this HDF5 file" - HDF5 MCP does it
- ✅ "Submit this simulation to Slurm with 32 cores" - Slurm MCP handles it
- ✅ "Find papers on neural networks from ArXiv" - ArXiv MCP searches
- ✅ "Plot the results from this CSV file" - Plot MCP visualizes
- ✅ "Optimize memory usage for this pandas DataFrame" - Pandas MCP optimizes
One unified interface. 16 MCP servers. 150+ specialized tools. Built for research.
CLIO Kit is part of the IoWarp platform's comprehensive tooling ecosystem for AI agents. It brings AI assistance to your scientific computing workflow—whether you're analyzing terabytes of HDF5 data, managing Slurm jobs across clusters, or exploring research papers. Built by researchers, for researchers, at Illinois Institute of Technology with NSF support.
Part of IoWarp Platform: CLIO Kit is the tooling layer of the IoWarp platform, providing skills, plugins, and extensions for AI agents working in scientific computing environments.
One simple command. Production-ready, fully typed, MIT licensed, and beta-tested in real HPC environments.
# List all 16 available MCP servers
uvx clio-kit mcp-servers
# Run any server instantly
uvx clio-kit mcp-server hdf5
uvx clio-kit mcp-server pandas
uvx clio-kit mcp-server slurm
# AI prompts also available
uvx clio-kit prompts # List all prompts
uvx clio-kit prompt code-coverage-prompt # Use a promptInstall in Cursor
Add to your Cursor ~/.cursor/mcp.json:
{
"mcpServers": {
"hdf5-mcp": {
"command": "uvx",
"args": ["clio-kit", "mcp-server", "hdf5"]
},
"pandas-mcp": {
"command": "uvx",
"args": ["clio-kit", "mcp-server", "pandas"]
},
"slurm-mcp": {
"command": "uvx",
"args": ["clio-kit", "mcp-server", "slurm"]
}
}
}See Cursor MCP docs for more info.
Install in Claude Code
# Add HDF5 MCP
claude mcp add hdf5-mcp -- uvx clio-kit mcp-server hdf5
# Add Pandas MCP
claude mcp add pandas-mcp -- uvx clio-kit mcp-server pandas
# Add Slurm MCP
claude mcp add slurm-mcp -- uvx clio-kit mcp-server slurmSee Claude Code MCP docs for more info.
Install in VS Code
Add to your VS Code MCP config:
"mcp": {
"servers": {
"hdf5-mcp": {
"type": "stdio",
"command": "uvx",
"args": ["clio-kit", "mcp-server", "hdf5"]
},
"pandas-mcp": {
"type": "stdio",
"command": "uvx",
"args": ["clio-kit", "mcp-server", "pandas"]
}
}
}See VS Code MCP docs for more info.
Install in Claude Desktop
Edit claude_desktop_config.json:
{
"mcpServers": {
"hdf5-mcp": {
"command": "uvx",
"args": ["clio-kit", "mcp-server", "hdf5"]
},
"arxiv-mcp": {
"command": "uvx",
"args": ["clio-kit", "mcp-server", "arxiv"]
}
}
}See Claude Desktop MCP docs for more info.
| 📦 Package | 📌 Ver | 🔧 System | 📋 Description | ⚡ Install Command |
|---|---|---|---|---|
adios |
1.0 | Data I/O | Read data using ADIOS2 engine | uvx clio-kit mcp-server adios |
arxiv |
1.0 | Research | Fetch research papers from ArXiv | uvx clio-kit mcp-server arxiv |
chronolog |
1.0 | Logging | Log and retrieve data from ChronoLog | uvx clio-kit mcp-server chronolog |
compression |
1.0 | Utilities | File compression with gzip | uvx clio-kit mcp-server compression |
darshan |
1.0 | Performance | I/O performance trace analysis | uvx clio-kit mcp-server darshan |
hdf5 |
2.1 | Data I/O | HPC-optimized scientific data with 27 tools, AI insights, caching, streaming | uvx clio-kit mcp-server hdf5 |
jarvis |
1.0 | Workflow | Data pipeline lifecycle management | uvx clio-kit mcp-server jarvis |
lmod |
1.0 | Environment | Environment module management | uvx clio-kit mcp-server lmod |
ndp |
1.0 | Data Protocol | Search and discover datasets across CKAN instances | uvx clio-kit mcp-server ndp |
node-hardware |
1.0 | System | System hardware information | uvx clio-kit mcp-server node-hardware |
pandas |
1.0 | Data Analysis | CSV data loading and filtering | uvx clio-kit mcp-server pandas |
parallel-sort |
1.0 | Computing | Large file sorting | uvx clio-kit mcp-server parallel-sort |
paraview |
1.0 | Visualization | Scientific 3D visualization and analysis | uvx clio-kit mcp-server paraview |
parquet |
1.0 | Data I/O | Read Parquet file columns | uvx clio-kit mcp-server parquet |
plot |
1.0 | Visualization | Generate plots from CSV data | uvx clio-kit mcp-server plot |
slurm |
1.0 | HPC | Job submission and management | uvx clio-kit mcp-server slurm |
"What datasets are in climate_simulation.h5? Show me the temperature field structure and read the first 100 timesteps."
Tools used: open_file, analyze_dataset_structure, read_partial_dataset, list_attributes
"Submit simulation.py to Slurm with 32 cores, 64GB memory, 24-hour runtime. Monitor progress and retrieve output when complete."
Tools used: submit_slurm_job, check_job_status, get_job_output
"Find the latest papers on diffusion models from ArXiv, get details on the top 3, and export citations to BibTeX."
Tools used: search_arxiv, get_paper_details, export_to_bibtex, download_paper_pdf
"Load sales_data.csv, clean missing values, compute statistics by region, and save as Parquet with compression."
Tools used: load_data, handle_missing_data, groupby_operations, save_data
"Create a line plot showing temperature trends over time from weather.csv with proper axis labels."
Tools used: line_plot, data_info
Server Not Found Error
If uvx clio-kit mcp-server <server-name> fails:
# Verify server name is correct
uvx clio-kit mcp-servers
# Common names: hdf5, pandas, slurm, arxiv (not hdf5-mcp, pandas-mcp)Import Errors or Missing Dependencies
For development or local testing:
cd clio-kit-mcp-servers/hdf5
uv sync --all-extras --dev
uv run hdf5-mcpuvx Command Not Found
Install uv package manager:
# Linux/macOS
curl -LsSf https://astral.sh/uv/install.sh | sh
# Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
# Or via pip
pip install uv- Gnosis Research Center (GRC) - Illinois Institute of Technology | Lead
- HDF Group - Data format and library developers | Industry Partner
- University of Utah - Research collaboration | Domain Science Partner
we welcome more sponsorships. please contact the Principal Investigator
- Submit Issues: Report bugs or request features via GitHub Issues
- Develop New MCPs: Add servers for your research tools (CONTRIBUTING.md)
- Improve Documentation: Help make guides clearer
- Share Use Cases: Tell us how you're using CLIO Kit in your research
Full Guide: CONTRIBUTING.md
- Chat: Zulip Community
- Join: Invitation Link
- Issues: GitHub Issues
- Discussions: GitHub Discussions
- Website: https://toolkit.iowarp.ai/
- Project: IOWarp Project