4EVERLAND Hosting MCP Server

Overview

The 4EVERLAND Hosting MCP Server bridges the gap between AI‑generated code and decentralized deployment. It allows developers to take a set of source files produced by an AI assistant—such as a new web application, microservice, or static site—and publish them instantly to one of several resilient storage backends: Greenfield, IPFS, or Arweave. Once deployed, the server returns a ready‑to‑use web domain that points directly to the content stored on the chosen network, eliminating the need for traditional hosting stacks or manual upload steps.

This server solves a common pain point in AI‑centric workflows: the friction of moving from “code is ready” to “code is publicly accessible.” By automating the upload, pinning, and domain allocation processes, it lets teams iterate on ideas faster. The integration is lightweight—developers invoke the tool with a simple JSON payload, and the MCP handles authentication, network selection, and domain provisioning. The result is a fully hosted site that benefits from the tamper‑resistance, censorship‑resilience, and global availability inherent to decentralized storage.

Key capabilities include:

• One‑click deployment: A single command uploads code and hands back a permanent URL.
• Multi‑network support: Choose between Greenfield, IPFS, or Arweave depending on cost, speed, and persistence requirements.
• Secure, loss‑proof storage: Data is replicated across the network, ensuring durability and protecting against accidental deletion.
• Custom domain management: Through the 4EVERLAND Dashboard, users can view deployment status, inspect file hashes, and optionally bind a branded domain.
• MCP‑ready tool: The operation exposes only the necessary parameters—file map, project name, optional ID, and platform choice—making it trivial to embed into existing AI pipelines.

Typical use cases span rapid prototyping, proof‑of‑concept demos, and continuous deployment of AI‑generated front‑ends. For example, a team using Claude or Cursor can generate a new landing page, immediately deploy it to IPFS, and share the URL with stakeholders—all within a single conversational turn. In research settings, decentralized hosting ensures that published code remains accessible even if the original host goes offline.

Integrating the server into AI workflows is straightforward. Clients such as Cursor or Claude Desktop can register the MCP endpoint once, then invoke whenever a new project is produced. Because the server handles authentication via an environment‑based token, developers can keep credentials out of source control while still enabling automated deployments. The result is a seamless pipeline from AI code generation to globally reachable, tamper‑resistant hosting.