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).
Python MCP adapter connecting Claude/Cursor/Cline to the OpenAaaS scientific agent network. Submit tasks to remote research agents (literature analysis, materials databases, etc.) — data stays local, only KBMB results flow. Install: uvx openaaas-mcp-adapter.