Give text-only LLMs eyes and ears through a privacy-safe local MCP server.
Cove Sensory MCP——给纯文本 LLM 一双眼睛和耳朵 is a local stdio MCP server that lets an Agent ask configured multimodal providers to inspect an explicitly supplied image, video, audio file, or music file. It is a sensory layer only: it does not provide chat, memory, personality, playback, continuous monitoring, or a calling policy.
This repository is distributed as source code. It does not require a packaged desktop app or a standalone installer. Install Git, Python 3.11+, and uv, then clone and set up the locked environment:
Supported renderers are generic, codex, claude-desktop, and claude-code. Copy the printed local stdio entry into your client, restart it, then ask the Agent to call sensorysetupguide. Official configuration references: Codex MCP, Claude Desktop, and Claude Code MCP. Client surfaces change independently; if a surface does not support local stdio MCP, run the server from a compatible host instead.
Run later commands from the cloned repository with uv run cove-sensory-mcp .... FFmpeg is optional for initial setup and image sensing, but video/audio preparation requires a working system FFmpeg discoverable on PATH or configured locally.
Do not paste an API key into chat. Run cove-sensory-mcp configure in a local terminal: hidden input goes to the operating-system credential store, while env:VARIABLENAME stores only the variable name. Add each readable local directory separately with cove-sensory-mcp configure paths.
From the project README.
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