Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.screenpi.pe/llms.txt

Use this file to discover all available pages before exploring further.

Gemini CLI is Google’s terminal-based AI coding assistant. it supports MCP servers, so you can connect screenpipe to give Gemini context about what you’ve been working on.

​
setup

Gemini CLI uses MCP for external tools. add screenpipe to your config: 
# add screenpipe MCP server
gemini config mcp add screenpipe "npx -y screenpipe-mcp"
or edit your config file directly: 
{
  "mcpServers": {
    "screenpipe": {
      "command": "npx",
      "args": ["-y", "screenpipe-mcp"]
    }
  }
}
restart Gemini CLI after configuration.

​
usage

once configured, Gemini can search your screen history: 
gemini

> what was I working on this morning?

> find the error message I saw in my terminal earlier

> summarize the documentation I was reading about kubernetes

​
available tools

screenpipe provides these MCP tools to Gemini:
  • search-content - search accessibility-first screen text, audio transcriptions, and input events
  • export-video - create video exports from screen recordings

​
example workflows

context-aware coding: 
> I was looking at a react component earlier that handled
> form validation, find it and help me implement something similar
debug from memory: 
> there was an error in my build output, find it and help me fix it
recall documentation: 
> what did that API documentation say about rate limits?

​
requirements

  • screenpipe running on localhost:3030
  • Gemini CLI installed
  • Node.js >= 18.0.0
need help? join our discord.