A RapidAPI for LLM tools that never found traction

What it does

Agentic operated as a two-sided platform for LLM tools. Developers could publish MCP servers and OpenAPI services to a shared entry point, set usage-based prices, and bill by usage. Consumers browsed a hand-vetted catalog of tools designed for agent consumption, with one-line integrations for major TypeScript LLM SDKs including Vercel AI SDK, OpenAI, and LangChain. The underlying infrastructure ran on Cloudflare’s edge network with caching and rate-limiting.

The interesting bit

The project coined “Agentic UX”—the idea that APIs should be hand-crafted for LLM consumption rather than retrofitted from legacy human-facing endpoints. It also built an HTTP-to-MCP compatibility layer and a TypeScript standard library of AI functions to paper over differences between competing LLM frameworks.

Key highlights

• Manually vetted catalog emphasizing quality over quantity
• First-class MCP support for both tool publishers and consumers
• One-line integrations with six major TS LLM SDKs (Vercel AI SDK, OpenAI, LangChain, LlamaIndex, Genkit, Mastra)
• Usage-based billing built in
• Cloudflare edge network with customizable caching and rate limits

Caveats

• Archived as of February 2026 and no longer maintained; the author explicitly states it “failed to gain traction”
• Publishing required manual submission and approval for listing on the main marketplace

Verdict

Study the codebase if you’re building interoperability or monetization layers for AI agents. Look elsewhere if you need an actively maintained platform—the author has moved on.