CLIO Hdf5
Give your agent structured read access to HDF5 scientific datasets while you build ML, simulation, or analytics features without bespoke file parsers in every script.
Overview
io.github.iowarp/hdf5-mcp is a MCP server for the Build phase that provides AI agents FastMCP access to HDF5 scientific data files.
What is this MCP server?
- FastMCP-based HDF5 access packaged as CLIO Hdf5 in clio-kit 2.2.3
- stdio MCP transport for local agent configurations
- Targets scientific and ML datasets stored in HDF5 containers
- Lets agents explore groups, datasets, and attributes without custom glue per project
- Maintained in the open iowarp/clio-kit repository on GitHub
- MCP registry version 2.2.3
- PyPI package clio-kit with stdio transport
- Server listed as io.github.iowarp/hdf5-mcp (title CLIO Hdf5)
Community signal: 25 GitHub stars.
What problem does it solve?
Your agent cannot see inside HDF5 archives, so you keep rewriting exploratory h5py code or exporting CSV intermediates just to answer simple data questions.
Who is it for?
Indie ML and scientific app builders who store training or simulation data in HDF5 and use MCP agents daily.
Skip if: Products backed only by Postgres or REST JSON with no HDF5 assets, or teams that forbid local file access from agents.
What do I get? / Deliverables
After installation, your agent can query HDF5 structure and contents via MCP so you build pipelines and features against real datasets faster.
- Agent-driven exploration of HDF5 file structure and datasets
- Fewer one-off parser scripts during feature development
- Integrated scientific data access alongside application code changes
Recommended MCP Servers
Journey fit
HDF5 access is integrated when you are wiring data sources into applications and agents, which is core Build work rather than launch distribution. Integrations is the right shelf because the server bridges binary scientific files into MCP tool calls your coding agent can orchestrate alongside application code.
How it compares
Scientific file MCP connector, not a cloud warehouse MCP or generic SQL database server.
Common Questions / FAQ
Who is io.github.iowarp/hdf5-mcp for?
It is for developers building on HDF5 who want MCP tools so coding agents can explore and read datasets during implementation.
When should I use io.github.iowarp/hdf5-mcp?
Use it during Build when integrating HDF5 sources into apps, agents, or batch pipelines and you need interactive structure inspection from Claude Code or Cursor.
How do I add io.github.iowarp/hdf5-mcp to my agent?
Install clio-kit 2.2.3 from PyPI, configure io.github.iowarp/hdf5-mcp as a stdio MCP server, and grant tool access to HDF5 files on paths your environment can read.