Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
AI-powered task management system for AI-driven development. Features PRD parsing, task expansion, multi-provider support (Claude, OpenAI, Gemini, Perplexity, xAI), and selective tool loading for optimized context usage.
Log-stream tools for on-call / SRE agent workflows — expose rlg (RustLogs) log files as MCP tools. Three tools: taillog (last N events, filtered by level/target), filterlog (JSON-path-style predicates), summarizeerrors (grouped error taxonomy). Speaks JSON-RPC 2.0 over stdio; near-lock-free structured logging engine underneath (65k-slot ring buffer, 14 output formats, oslog/journald sinks). Install cargo install rlg-mcp or docker run -i ghcr.io/sebastienrousseau/rlg-mcp. Dual-licensed MIT OR Apache-2.0.