Screenpipe

v1.0.0Monitoring & Observabilitystable

🎖️ 🦀 🏠 🍎 Local-first system capturing screen/audio with timestamped indexing, SQL/embedding storage, semantic search, LLM-powered history analysis, and event-triggered actions - enables building context-aware AI agents through a NextJS plugin ecosyst

mediar-ai-screenpipemcpai-integration
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What is Screenpipe?

Screenpipe is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 🎖️ 🦀 🏠 🍎 local-first system capturing screen/audio with timestamped indexing, sql/embedding storage, semantic search, llm-powered history analysis, and event-triggered actions - enables building c...

🎖️ 🦀 🏠 🍎 Local-first system capturing screen/audio with timestamped indexing, SQL/embedding storage, semantic search, LLM-powered history analysis, and event-triggered actions - enables building context-aware AI agents through a NextJS plugin ecosyst

This server falls under the Monitoring & Observability category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • 🎖️ 🦀 🏠 🍎 Local-first system capturing screen/audio with time

Use Cases

Local screen and audio capture
Semantic history search
Community

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx mediar-ai-screenpipe

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Screenpipe

What is Screenpipe?

Screenpipe is a Model Context Protocol (MCP) server that 🎖️ 🦀 🏠 🍎 local-first system capturing screen/audio with timestamped indexing, sql/embedding storage, semantic search, llm-powered history analysis, and event-triggered actions - enables building context-aware ai agents through a nextjs plugin ecosyst It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Screenpipe?

Follow the installation instructions on the Screenpipe GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Screenpipe?

Screenpipe works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Screenpipe free to use?

Yes, Screenpipe is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Monitoring & Observability MCP Servers

Explore all monitoring & observability servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "mediar-ai-screenpipe": { "command": "npx", "args": ["-y", "mediar-ai-screenpipe"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use Screenpipe?

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