mcp-swagger-server — alternative #1 to delimit
📇 ☁️ 🏠 - یک سرور Model Context Protocol (MCP) که مشخصات OpenAPI/Swagger را به فرمت MCP تبدیل میکند و به دستیاران هوش مصنوعی امکان تعامل با...
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Recorded alternatives
Every candidate below sits in AI. What ends up on this page is decided entirely by a recorded score — not by bidding, not by editor taste. Review both records, check current vendor terms, then decide.
📇 ☁️ 🏠 - یک سرور Model Context Protocol (MCP) که مشخصات OpenAPI/Swagger را به فرمت MCP تبدیل میکند و به دستیاران هوش مصنوعی امکان تعامل با...
📇 🏎️ - MCP server for LightningProx — pay-per-request AI access via Bitcoin Lightning. Supports vision/multimodal.
📇 ☁️ - Wine pairing intelligence for AI assistants. 7 MCP tools for sommelier-grade wine recommendations powered by a proprietary Wine DNA a...
Python-free Rust inference server with OpenAI API compatibility. Supports GGUF and SafeTensors formats with hot model swap, auto-discovery,...
📇 🏠 🍎 🪟 🐧 - MCP server that compiles AI browser automation into deterministic .tap.json plans (25-op closed union, zero runtime LLM), runs o...
Each candidate is a live catalogue record in the same primary category, picked by a deterministic score that Oryxen records in its catalogue: how many meaningful words the two listings share, whether their pricing classes oppose (a paid product against a free one), whether both are open source, and whether either record is featured. The same catalogue state always produces the same list — no randomness, no manual ranking.
No. Rows are ordered only by the recorded score, highest first, with alphabetical ties — payment never influences the order, nothing here is paid placement, and Oryxen charges no listing or placement fee.
Always verify current terms with delimit directly — Oryxen records pricing classes, not live quotes.