screenpipe remembers how you actually work It captures what you see, say, and do, locally, 24/7, then turns real work into searchable memory, SOPs
Most knowledge and memory work still happens through a UI a human drives. Screenpipe MCP server moves it into the conversation instead. screenpipe remembers how you actually work It captures what you see, say, and do, locally, 24/7, then turns real work into searchable memory, SOPs, and automations for AI agents.
screenpipe turns your computer into a personal AI that knows everything you've done. record. search. automate. all local, all private, all yours
Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
Configuration is passed through the environment: SCREENPIPE_AUDIO_EXCLUSIONS_PATH. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Plenty of knowledge and memory servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. It is maintained by mediar-ai; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
{
"mcpServers": {
"screenpipe": {
"command": "npx",
"args": ["-y", "screenpipe"],
"env": {
"SCREENPIPE_AUDIO_EXCLUSIONS_PATH": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| SCREENPIPE_AUDIO_EXCLUSIONS_PATH | Filesystem location the server is allowed to use. | Optional |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.