"Timescale" matching MCP servers:

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.

A simple memory system that allows LLMs to store and retrieve information via the Model Context Protocol.

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

Enables AI assistants to manage and query Tiger Cloud database services, including service lifecycle operations, database connections, and SQL execution.

Enables semantic search across PostgreSQL, TimescaleDB, and PostGIS documentation to help AI coding assistants write better PostgreSQL code.

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

Emulates Claude Skills with any LLM via MCP, enabling agents to use modular skill packages for specialized workflows and tool integrations.

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.

Enables semantic search of Salesforce case summaries using embeddings, accessible via MCP tools and REST API.

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