Browse all Model Context Protocol servers with quality scores, stars, languages and maintenance activity.
One local gateway and manager for all your MCP servers, shared across every AI coding tool (Claude, Cursor, VS Code, Codex, and more). Set up and authenticate each server once; lazy discovery keeps each agent's context small, and keys stay in your OS keychain. No Docker, no cloud.
Log-stream tools for on-call / SRE agent workflows** — expose `rlg` (RustLogs) log files as MCP tools. Three tools: `tail_log` (last N events, filtered by level/target), `filter_log` (JSON-path-style predicates), `summarize_errors` (grouped error taxonomy). Speaks JSON-RPC 2.0 over stdio; near-lock-free structured logging engine underneath (65k-slot ring buffer, 14 output formats, `os_log`/`journa
Agent-optimized MCP server replacing built-in file, search, exec, and git tools with compact structured JSON. Native plugins for git, cargo, gh, and docker. Semantic output filtering, read deduplication, batch operations, and token analytics. Benchmarked 20-45% token savings.
Stateful, structured, auditable shell sessions for AI agents over local, SSH, and Docker. Secret redaction, output budgeting, SSH host-key verification, and a loopback read-only browser viewer that streams the live transcript.