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).
Making enterprise AI infrastructure universally accessible. Edge-first platform unifying 12 providers and 100+ models with multi-agent orchestration, HITL workflows, guardrails middleware, and context summarization.