hydrolix/mcp-hydrolix
Hydrolix time-series datalake integration providing schema exploration and query capabilities to LLM-based workflows.
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Overview
Hydrolix time-series datalake integration providing schema exploration and query capabilities to LLM-based workflows.
Installation
pip install mcp-hydrolix
Configuration
{
"mcpServers": {
"mcp-hydrolix": {
"command": "uvx",
"args": [
"--python",
"3.13",
"--refresh-package",
"mcp-hydrolix",
"mcp-hydrolix"
],
"env": {
"HYDROLIX_URL": "https://<your-hydrolix-hostname>",
"HYDROLIX_USER": "<your-username>",
"HYDROLIX_PASSWORD": "<your-password>"
}
}Capabilities
- List available databases
Ask the assistant to enumerate all databases in your Hydrolix cluster using `list_databases`.
- Explore tables in a database
Request a list of all tables within a specific database via `list_tables`.
- Inspect table schema
Retrieve column names, types, and metadata for a given table with `get_table_info`.
- Run SQL queries
Execute arbitrary SQL against your Hydrolix cluster using `run_select_query` to analyze log or event data.
Tags
- llm
- ai-model
- database
- awesome-list
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