Server4Agent

Integrations

Connect Server4Agent to Claude, ChatGPT, Cursor, VS Code & Gemini CLI

Server4Agent speaks the Model Context Protocol, so any AI assistant or agent framework that supports MCP can hire it. Drop one config block into your client and your agent gets a persistent server in a single connection.

Add Server4Agent as a custom connector.

{
  "mcpServers": {
    "server4agent": {
      "url": "https://mcp.server4agent.com",
      "headers": {
        "Authorization": "Bearer sk_live_YOUR_API_KEY"
      }
    }
  }
}
In Claude, open Settings → Connectors → Add custom connector and point it at the MCP server URL with your API key, or add the block below to claude_desktop_config.json.

The endpoint is the same everywhere: https://mcp.server4agent.com. Pick your client above, or use the raw JSON with any MCP-compatible host.

Three steps

From config block to a live URL

The flow is the same in every host; only where you paste the config changes.

01

Create an API key

Generate a scoped key in the dashboard. It authenticates your agent to Server4Agent and is revocable at any time.

02

Add the MCP server

Paste the config block into your client's MCP settings and swap in your key. One endpoint, no glue code.

03

Let your agent build

Your agent now has Server4Agent's tools natively. It provisions a server, writes the code, runs it, and ships a live URL.

One connection, the full toolset

MCP is host-agnostic on purpose. Whatever client your agent runs in, the same Server4Agent tools show up, so you wire it once and the agent does the rest.

  • Provision and control persistent servers as native tools
  • A single prompt tool the on-server agent plans and executes
  • Shell, file, build, and deploy primitives the agent can reach for
  • Scoped, individually revocable API keys per client

Ready to wire up your agent?

Create a key, paste the config, and your agent has a server it can build on. The full schema and tool reference live in the MCP docs.

Start freeMCP docs