# Screenpipe

> Use this tool when you need to search and retrieve screen recordings and associated data, solving problems such as productivity tracking and user behavior analysis. It provides a standardized interface for querying recordings based on content type, time range, and application context, and integrates with a local API to abstract data retrieval complexities. The Screenpipe server offers a consistent MCP interface, making it ideal for use cases that require access to screen capture data, such as automated documentation of digital workflows.

Canonical page: https://skillsregistry.net/skills/mediar-ai-screenpipe  
JSON: https://api.skillsregistry.net/v1/skills/mediar-ai-screenpipe

## Description

This screenpipe MCP server, developed by Mediar AI, provides a standardized interface for searching and retrieving screen recordings and associated data. Built with Python and leveraging libraries like httpx and nest-asyncio, it offers tools to query recordings based on content type, time range, and application context. The server integrates with a local screenpipe API, abstracting the complexities of data retrieval and formatting into a consistent MCP interface. By enabling AI systems to access and analyze screen capture data, this implementation facilitates use cases such as productivity tracking, user behavior analysis, and automated documentation of digital workflows.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mediar-ai-screenpipe)
- **Repository:** <https://github.com/screenpipe/screenpipe/tree/HEAD/screenpipe-integrations/screenpipe-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mediar-ai-screenpipe"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mediar-ai-screenpipe` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mediar-ai-screenpipe/pull`

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