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.
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.
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).