Fractera is a remote / hosted MCP server. There is nothing to install or build locally and no Docker image — you only add its URL to Cline's MCP settings.
Add this entry to Cline's MCP settings file (cline_mcp_settings.json):
{
"mcpServers": {
"fractera": {
"type": "streamableHttp",
"url": "https://www.fractera.ai/api/mcp"
}
}
}That is the entire installation. No API key, token, or environment variable is required — the connector is open.
After saving, Cline should show the fractera server as connected and list its tools:
register_and_deploy, retry_deploy, check_status, get_vps_recommendation, get_subdomain, get_project_info.
A quick read-only check: ask Cline to call get_project_info — it returns the project's architecture and FAQ and needs no credentials.
Fractera deploys a private AI coding workspace (5 AI engines + an autonomous Hermes agent + private LightRAG memory) onto the user's own Ubuntu VPS in about 10 minutes, straight from chat. The deploy is IP-first: it finishes on plain HTTP at http://<your-ip>:3002. register_and_deploy is destructive by design (it wipes the target server before installing). Read-only tools need no credentials.
Knowledge base & security FAQ: https://www.fractera.ai/mcp-info