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.
Connect your agent to any HTTP API on the fly — discovers + maps any REST API once, then fetches typed data deterministically (no per-call LLM). Self-hosted MCP server (uvx --from 'liquid-api[mcp]' liquid-mcp); works with OpenAI/Gemini/Anthropic/local or any provider via LiteLLM. Open source (AGPL).
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.