MCP Servers

An MCP server (Model Context Protocol server) is a lightweight service that exposes tools, data sources, and actions to AI agents using Anthropic's open Model Context Protocol standard. MCP servers let AI models like Claude call real-world APIs — searching the web, querying databases, writing files — in a standardized way. Think of an MCP server as a plug-in for AI agents. Learn more about MCP →

Hosting an MCP server in production requires a persistent process, a stable HTTPS endpoint, managed secrets, auto-scaling, and 24/7 health monitoring — none of which you get with a localhost setup. AINative handles all of this: connect your server, configure auth and scaling, click deploy, and you have a production-ready hosted MCP server in under 60 seconds.

MCP server authentication controls which agents and clients can connect to your server. Without auth, any client that knows your endpoint URL can use your tools — a serious security risk in production. AINative's managed OAuth & authentication layer supports OAuth 2.0, API key validation, and JWT tokens, all configured from your dashboard — no custom auth code required.

Yes. AINative offers a free tier for MCP server hosting — no credit card required to start. The free tier includes one active MCP server with shared resources and community support. Paid tiers start at 1 credit/hour per server and unlock dedicated resources, custom domains, SLA guarantees, and priority support. See full pricing →

To deploy an MCP server to production with AINative: (1) log into your dashboard and navigate to MCP Hosting, (2) select a pre-built server or connect your own repo, (3) configure environment variables and auth settings, (4) click “Deploy.” Your server will be live at a stable HTTPS endpoint within 60 seconds, with health monitoring and auto-restart enabled by default.

An MCP gateway is a central control plane that sits in front of multiple MCP servers. It handles authentication, request routing, rate limiting, and observability for all your MCP tools in one place — so agents connect to a single gateway endpoint rather than managing individual server URLs. AINative's MCP Gateway lets you route, authenticate, and monitor all your hosted MCP servers from one dashboard.

A REST API is designed for human developers writing code that calls endpoints. An MCP server is designed for AI models — it exposes “tools” in a structured, self-describing format that LLMs can discover and invoke autonomously without hand-written integration code. MCP servers handle the tool-calling contract so your agent always knows what parameters to pass, what the response schema looks like, and how to handle errors — automatically.