"Brex" matching MCP servers:

Enables an LLM to read S1000D BREX data modules and check data modules against them, reporting allowed elements, values, SNS code meanings, and permitted illustration formats. Also returns each rule violation with its XPath location, actual value, rule ID, and severity, following the BREX reference chain layer by layer.

Enables an LLM to check S1000D data modules through XML schema validation, BREX rule checks, and reference resolution, returning an evidence-backed combined verification status per data module or across a whole CSDB folder.

An MCP server that lets AI agents list sessions, read terminal screens, type commands, and run commands (with optional waiting for exit status) in Rex terminal blocks on the local machine through the rex CLI. It exposes a single allowlisted passthrough CLI tool plus a guide tool, deliberately excluding destructive or cross-host operations.

Enables managing multiple remote Linux hosts over SSH via MCP, with command execution, SFTP file operations, and Windows DPAPI-protected credentials.

Mechanical write gates, evidence receipts, and adversarial review for AI coding agents. Fable Mode enforces a Think → Prove → Attack → Write workflow before an agent earns permission to edit a workspace.

A comprehensive Model Context Protocol (MCP) server for Obsidian on macOS. It provides extensive tools for interacting with Obsidian vaults, notes, and application state through AppleScript, URI schemes, and direct file system access.

Enables autonomous DFIR investigation by turning the SIFT toolchain into evidence-safe MCP functions, with self-correction, corroboration, and traceable audit trails.

Run, build, train, and deploy ML models on the cloud.

A macOS-only MCP server that exposes Apple Reminders to AI clients, enabling create, read, update, delete, search, and organization of reminders and lists through natural language.

Enables AI agents to query MySQL, ClickHouse, Trino, and S3-compatible object stores through the same local daemon used by VSCode, including running SQL from files and browsing buckets.