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.
Self-improving tool discovery for AI agents. Searches registries, installs MCP servers as subprocesses, and persists tool knowledge across sessions — no restarts needed.
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).