Hydrolix
Provides direct access to Hydrolix time-series databases through ClickHouse SQL queries, enabling AI assistants to explore and analyze large-scale time-series data stored in Hydrolix clusters. Built by Hydrolix, the server offers three core tools: listing databases and tables with schema information including comments and primary keys, and executing SELECT queries with built-in safety guards like read-only mode, query timeouts, and result limits. The implementation includes performance optimizations specifically for time-series workloads, encouraging queries with timestamp-based filters and LIMIT clauses to ensure efficient execution, making it valuable for log analysis, metrics exploration, IoT data investigation, and other time-series analytics use cases where users need to query large datasets without writing complex database connection code.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/hydrolix/mcp-hydrolix
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Hydrolix from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.