hiveLLM MCP

Bring a real human expert into Codex or OpenCode without replacing the user's AI model or coding-account quota.

The MCP connector creates a hiveLLM room, carries user/AI/expert messages, and reports fixed-checkpoint status. The coding agent still runs in the user's own client. hiveLLM never receives the user's Codex, OpenAI, Anthropic, or OpenRouter credential.

Install

The shortest path is hivellm.com/install. Sign in, choose Codex or OpenCode, and run the generated command.

Until the npm package is published, a clean manual install uses GitHub:

npm install -g github:bhuman-ai/hivellm-mcp
HIVELLM_API_KEY=your_key hivellm-mcp install codex

For OpenCode:

npm install -g github:bhuman-ai/hivellm-mcp
HIVELLM_API_KEY=your_key hivellm-mcp install opencode

The OpenCode installer adds the hivellm MCP entry and removes the recognized legacy castellar-human adapter if present. It does not change the selected model, provider, or unrelated MCP servers.

Related MCP server: Agents Council

Tools

• hivellm_check_availability

• hivellm_request_expert

• hivellm_get_room

• hivellm_wait_for_expert

• hivellm_send_user_message

• hivellm_report_ai_progress

• hivellm_submit_rating

Creating a room starts free intake. An expert can propose a fixed-price checkpoint, but paid work does not begin until the user approves it in the room.

Verify

hivellm-mcp doctor
codex mcp get hivellm

For OpenCode, restart the client and run opencode mcp list.

Development

npm install
npm test