Screenpipe: MCP server, setup and security

What Screenpipe does

According to its repository: “Search your local screen recordings, audio transcripts, and computer activity from screenpipe.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Screenpipe is listed under Image, video and audio, a category of 67 servers in the directory, where it ranks #1 by stars.

Topics declared by the repository: computer-vision, machine-learning, multimodal, agents, agi, audio-recording.

Installing and connecting Screenpipe

Distribution modes declared in the official MCP registry:

• npm package (Node.js, usually started with npx)

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: Rust.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

Points found for Screenpipe:

• No licence: without a licence the code is not legally reusable, even if it is public. Avoid it in a company setting without the author's agreement.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on June 19, 2024, the screenpipe/screenpipe repository has 22,054 stars and 2,249 forks, with 30 open issues. It is one of the most starred servers in the directory. It received changes this month. Version published in the registry: 0.20.3 (October 8, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.