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Msty is a privacy-first AI platform (desktop + web) that natively supports MCP via its Toolbox feature — both STDIO and HTTP modes. screenpipe works out of the box with Msty, giving it access to your screen history, audio transcriptions, and more.

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setup

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STDIO mode

  1. make sure screenpipe is running on your machine
  2. open Msty and go to Settings → Toolbox
  3. add a new tool with the following configuration:
{
  "mcpServers": {
    "screenpipe": {
      "command": "npx",
      "args": ["-y", "screenpipe-mcp"]
    }
  }
}
  1. save and enable the tool

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HTTP mode

if you need remote access, use the HTTP transport instead: 
{
  "mcpServers": {
    "screenpipe": {
      "command": "npx",
      "args": ["-y", "screenpipe-mcp-http", "--port", "3031"]
    }
  }
}

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usage

once configured, Msty can search your screen history and get context about what you’ve been working on: 
> what was I working on this morning?

> find that documentation about async/await patterns I was reading earlier

> what error messages have I seen in my terminal today?

> search for the API response format I was looking at in the browser

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example workflows

recall context from earlier: 
> I was reading a blog post about rust macros earlier today,
> search screenpipe and summarize the key points
reference meeting discussion: 
> search my audio transcriptions for what was discussed
> about the deployment timeline, then help me plan next steps
debug from memory: 
> I saw an error message flash on screen, search screenpipe
> to find it and help me fix the issue
find code examples: 
> search screenpipe for the python code I was looking at
> in the browser yesterday about asyncio patterns

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available tools

screenpipe provides these MCP tools to Msty:
  • search-content - search screen OCR, audio transcriptions, input events
  • export-video - create video exports from screen recordings

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requirements

  • screenpipe running on localhost:3030 (or localhost:3031 for HTTP mode)
  • Msty desktop or web app
  • Node.js >= 18.0.0
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