hydrolix/mcp-hydrolix

Overview

An MCP server that enables AI agents to query Hydrolix, a time-series data platform. It implements the Model Context Protocol to allow natural language or structured queries against Hydrolix datasets. Built in Python, it provides a bridge between AI assistants and Hydrolix's storage and query engine.

Best for

Best for
Developers building AI agents that need to query Hydrolix time-series data

Use cases

• Query time-series logs from an AI assistant
• Integrate Hydrolix data into AI workflows
• Enable natural language analysis of Hydrolix metrics

How to use

Install

pip install mcp-hydrolix

Tools exposed

• run_select_query
• list_databases
• list_tables
• get_table_info
• HYDROLIX_HOST
• HYDROLIX_PORT
• HYDROLIX_SECURE
• HYDROLIX_API_HOST
• HYDROLIX_API_PORT
• HYDROLIX_PROXY_PATH

Tested with

Claude Desktop, Claude Code, VS Code

Notes

An MCP server that enables AI agents to query Hydrolix, a time-series data platform. It implements the Model Context Protocol to allow natural language or structured queries against Hydrolix datasets. Built in Python, it provides a bridge between AI assistants and Hydrolix’s storage and query engine.

9 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

• Query time-series logs from an AI assistant
• Integrate Hydrolix data into AI workflows
• Enable natural language analysis of Hydrolix metrics

Pros

• Simple setup for Python environments
• Leverages MCP standard for interoperability
• Direct access to Hydrolix’s high-performance query engine

Cons

• Limited community adoption (9 stars)
• Requires running a separate MCP server process
• Documentation may be sparse

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.