"Timescale" matching MCP servers:

Enables AI assistants to interact with TimescaleDB time-series databases through async operations, providing tools for querying, schema introspection, hypertable analysis, and time-bucketed data aggregation.

A FastAPI-based MCP server orchestrated with Docker Compose, integrating Redis caching and TimescaleDB for time-series data management.

RSigma is a Rust detection-engineering toolkit for the Sigma standard. Its MCP server (rsigma mcp serve) exposes the toolchain to AI agents over stdio or Streamable HTTP, with tools to author, lint, validate, and convert Sigma rules, evaluate and explain detections against log events, and inspect correlation state.

Provides focused tools for interacting with Linear via the Model Context Protocol, enabling LLMs to manage Linear issues, projects, and teams.

Enables LLMs to interact with GitHub via the Model Context Protocol, providing tools for repository management and other GitHub operations.