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hydrolix/mcp-hydrolix

v0.3.5 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 4d MCP Data & Storage
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Summary

AI summary

Added TrafficPeak‑branded PyPI distribution with dual‑namespace environment variables and updated config documentation.

Full changelog

v0.3.5

Added

  • mcp-trafficpeak: a second, fully TrafficPeak-branded PyPI distribution built from this single source tree, so TrafficPeak customers get an MCP server with no Hydrolix branding on customer-facing surfaces. Both brands ship from the same commit at the same version, selected at build time by MCP_BRAND={hydrolix|trafficpeak} (default hydrolix). (#136, HDX-11476)
  • Dual-namespace environment variables: every HYDROLIX_<x> setting can also be given as TRAFFICPEAK_<x>, resolved per-variable at read time with the TrafficPeak name taking precedence and silent fallback to the Hydrolix name. (#136, HDX-11476)

Changed

  • Consolidated environment-variable documentation into docs/CONFIG.md: documented previously-undocumented variables, moved less-common settings out of the README to improve its legibility, and fixed a stale HYDROLIX_MCP_WORKER_CONNECTIONS default (200 → 100) in the docs. (#134, HDX-11826)

Fixed

  • Corrected the documented semantics of HYDROLIX_QUERY_HEAD_POOL: the value names a query-head pool preconfigured on the cluster, and requests fail if the named pool does not exist. Earlier text wrongly framed it as a database-name routing key whose unmatched values were harmless. No behavior change. (#135, HDX-11826)

Full Changelog: https://github.com/hydrolix/mcp-hydrolix/compare/v0.3.4...v0.3.5

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About hydrolix/mcp-hydrolix

Hydrolix time-series datalake integration providing schema exploration and query capabilities to LLM-based workflows.

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Beta — feedback welcome: [email protected]