Clio Kit
Parallel Sort MCP - High-Performance Log File Processing for LLMs with advanced sorting and analysis
What is Clio Kit?
Clio Kit is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to parallel sort mcp - high-performance log file processing for llms with advanced sorting and analysis
Parallel Sort MCP - High-Performance Log File Processing for LLMs with advanced sorting and analysis
This server falls under the Developer Tools and Monitoring & Observability categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Parallel Sort MCP - High-Performance Log File Processing for
Use Cases
Maintainer
Works with
Installation
PIP
pip install clio-kitManual Installation
pip install clio-kitConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Clio Kit
Clio Kit is a Python-based collection of 16 high-performance MCP servers purpose-built for HPC and scientific computing environments. It includes servers for HDF5 scientific data files (27 tools with AI insights and streaming), Pandas/CSV data manipulation, Slurm job scheduling, ArXiv paper search, Parquet file reading, and an agentic hybrid search engine combining BM25 lexical, vector, and graph retrieval. Researchers and HPC users can connect AI assistants directly to their computational workflows — submitting jobs, exploring large datasets, finding papers, and querying logs — all through natural language.
Prerequisites
- Python 3.10+ installed
- uv package manager installed (required for uvx commands)
- For Slurm server: access to a Slurm-managed HPC cluster with squeue/sbatch in PATH
- For HDF5 server: HDF5 library (h5py) available in the Python environment
- An MCP-compatible client such as Claude Desktop or Claude Code CLI
Install uv package manager
Install uv, which clio-kit uses for its uvx runner interface.
curl -LsSf https://astral.sh/uv/install.sh | shInstall clio-kit from PyPI
Install the clio-kit package. All 16 MCP servers are bundled and accessible through the clio-kit CLI.
pip install clio-kitList available MCP servers
Discover all 16 included servers and their names.
uvx clio-kit mcp-serversAdd servers to Claude Code CLI
Register individual clio-kit servers with Claude Code using the mcp add command. Add as many as your workflow needs.
claude mcp add hdf5-mcp -- uvx clio-kit mcp-server hdf5
claude mcp add pandas-mcp -- uvx clio-kit mcp-server pandas
claude mcp add slurm-mcp -- uvx clio-kit mcp-server slurm
claude mcp add arxiv-mcp -- uvx clio-kit mcp-server arxivOr configure Claude Desktop
Add one or more clio-kit servers to your Claude Desktop configuration file.
Test with a sample query
Verify a server is working by asking Claude a question that exercises it.
Clio Kit Examples
Client configuration
Add multiple clio-kit servers to Claude Desktop for a scientific computing workflow.
{
"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"]
},
"arxiv-mcp": {
"command": "uvx",
"args": ["clio-kit", "mcp-server", "arxiv"]
}
}
}Prompts to try
Use natural language for scientific computing tasks across the clio-kit server collection.
- "What datasets are in climate_simulation.h5? Show me the temperature field structure."
- "Submit simulation.py to Slurm with 32 cores, 64GB memory, and a 24-hour runtime."
- "Search ArXiv for the latest diffusion model papers and export the top 3 as BibTeX."
- "Load sales_data.csv, remove rows with missing values, and compute per-region statistics."
- "Check the status of all my running Slurm jobs."
- "Find all log entries mentioning pressure above 200 kPa."Troubleshooting Clio Kit
uvx clio-kit command not found
Ensure uv is installed and its binary directory is in your PATH. Run 'which uvx' to check. If missing, reinstall uv with the official installer and source your shell profile: 'source ~/.zshrc' or 'source ~/.bashrc'.
Slurm server cannot submit jobs or list queues
The Slurm MCP server requires sbatch, squeue, and sacct to be available in the PATH of the process running the server. Ensure you are running clio-kit on a Slurm login node or a system where Slurm CLI tools are installed.
HDF5 server fails to open files
Check that h5py is installed in the Python environment uvx uses ('pip install h5py'). Also confirm the file paths passed to the server are absolute and accessible from the machine running the server.
Frequently Asked Questions about Clio Kit
What is Clio Kit?
Clio Kit is a Model Context Protocol (MCP) server that parallel sort mcp - high-performance log file processing for llms with advanced sorting and analysis It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Clio Kit?
Install via pip with: pip install clio-kit. Then configure your AI client to connect to this MCP server.
Which AI clients work with Clio Kit?
Clio Kit works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Clio Kit free to use?
Yes, Clio Kit is open source and available under the BSD-3-Clause license. You can use it freely in both personal and commercial projects.
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Set Up Clio Kit in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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