Home Browse Rlg vs Figma Context MCP Rlg vs Figma Context MCP 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.
Compare Summary 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. Provide coding agents direct access to Figma data to help them one-shot design implementation. Quality signal 24/100 (Emerging) 29/100 (Emerging) Install path npx · lowRemote · highEngagement Tools Not listed yet Not listed yet Verified / official No No Open listing View Rlg View Figma Context MCP