mediar-ai/screenpipe
by Various
YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure
MCP
mediar-ai/screenpipe
Added 1 June 2026
Overview
Screenpipe is a local recording agent written in Rust that captures screen, audio, and microphone input continuously on your machine. It stores all recordings locally for privacy and enables AI to search and act on what you've seen, said, or heard without sending data to external servers.
Best for
Best for
Developers building local-first AI agents that need rich context from user activity without cloud transmission.
Use cases
- Building AI assistants that understand user context from screen and audio history
- Creating productivity tools that search across everything you've done in a session
- Developing accessibility features that react to on-screen content and spoken input
How to use
Install
npx screenpipe record Tools exposed
Source-availableMulti-monitor
Tested with
Claude Desktop, Claude Code, Cursor, Cline, Continue, VS Code, ChatGPT
Notes
Screenpipe is a local recording agent written in Rust that captures screen, audio, and microphone input continuously on your machine. It stores all recordings locally for privacy and enables AI to search and act on what you’ve seen, said, or heard without sending data to external servers.
19,049 stars on GitHub. Last updated 2026-06-01.
Use cases
- Building AI assistants that understand user context from screen and audio history
- Creating productivity tools that search across everything you’ve done in a session
- Developing accessibility features that react to on-screen content and spoken input
Pros
- Runs entirely local with no cloud dependency, keeping sensitive recordings private
- Captures multimodal input (screen, audio, microphone) in a single unified stream
- Open source with active community (19k+ stars) and Rust performance foundation
Cons
- Requires significant local storage and CPU resources for continuous 24/7 recording
- Privacy and legal compliance responsibility falls entirely on the builder deploying it
- Early-stage tool (YC S26) with evolving API and potential breaking changes
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Runs entirely local with no cloud dependency, keeping sensitive recordings private
- Captures multimodal input (screen, audio, microphone) in a single unified stream
- Open source with active community (19k+ stars) and Rust performance foundation
Cons
- Requires significant local storage and CPU resources for continuous 24/7 recording
- Privacy and legal compliance responsibility falls entirely on the builder deploying it
- Early-stage tool (YC S26) with evolving API and potential breaking changes
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
dmang-dev/mcp-retroarch
Various
MCP server for RetroArch — exposes memory r/w, save state, screenshot, pause/frameadvance/reset via the Network Control Interface
inkbytefo/screenmonitormcp
Various
🐍 🏠 🍎 🪟 🐧 - Real-time screen analysis, context-aware recording, and UI monitoring MCP server. Supports AI vision, event hooks, and multimodal agent workflows.
keiver/image-tiler-mcp-server
Various
MCP server that prevents LLM vision downscaling, tiles large images & screenshots so Claude, GPT-4o, and Gemini see every detail
KyaniteLabs/kinocut
Various
Guardrailed video editing MCP server for AI agents. FFmpeg, Hyperframes, repurposing tools, Python client, and CLI. Local, fast, free.
pavelpilyak/devrecall
Various
[](https://glama.ai/mcp/servers/pavelpilyak/devrecall) 🏎️ 🏠 🍎 🐧 - Local-first developer activity aggregator. Indexes commits, PRs, Jira/Linear tickets, Confluence docs, Slack t
pi22by7/In-Memoria
Various
Persistent Intelligence Infrastructure for AI Agents
ravi-labs/mindmap-mcp-server
Various
Local-first MCP memory & context-handoff server — capture context in one AI tool, resume it in another. Graceful decay, no cloud.
samvallad33/vestige
Various
Vestige gives AI agents sharp memory: a local-first Rust MCP server that reaches backward through time to find the quiet change, decision, or service that caused today’s failure, n
tan-yong-sheng/ai-vision-mcp
Various
A Model Context Protocol (MCP) server that provides vision capabilities to analyze image and video
tinqiao-oss/clawtouch-mcp
Various
ClawTouch MCP server — exposes a real USB-HID keyboard/mouse (Raspberry Pi Pico 2) as Model Context Protocol tools for any LLM agent. MIT.
Screenpipe
Various
YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure
ContextPulse/contextpulse
Various
Always-on context for AI agents: screen capture, OCR, voice, MCP server. Local-first, AGPL-3.0.
deusXmachina-dev/memorylane
Various
📇 ☁️ 🏠 🍎 - Desktop app that captures screen activity via event-driven screenshots, stores AI-generated summaries and OCR text locally in SQLite, and exposes your activity histor
inkbytefo/screenmonitormcp
Various
🐍 🏠 🍎 🪟 🐧 - Real-time screen analysis, context-aware recording, and UI monitoring MCP server. Supports AI vision, event hooks, and multimodal agent workflows.
manovagyanik1/clipy-mcp
Various
Clipy is the first agent-readable screen recorder — free, no watermark, for Mac, Chrome, and the web. One share link: humans watch the video, AI agents read the summary, key moment
Touchpoint-Labs/touchpoint
Various
Give your AI agent eyes and hands on any desktop — cross-platform accessibility API with MCP server
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.