Minutes runs on your own machine — the client starts it, so there is no endpoint to ping. 459 installs a week from npm. Last commit 10 Sep 2026.
The private, owned conversation-memory layer for AI. Record, transcribe, and search every meeting.
What the code does
We read the source, 16 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
const peopleRaw = execFileSync(minutesBin, ["people", "--json", "--limit", "10"], {
const absolute = path.join(rootDir, "..", "..", targetPath);
ml.innerHTML=html;
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
This code can reach further than it looks
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Connect this server
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add minutes -- npx -y minutes-mcp{
"mcpServers": {
"minutes": {
"args": [
"-y",
"minutes-mcp"
],
"command": "npx"
}
}
}[mcp_servers.minutes]
command = "npx"
args = ["-y", "minutes-mcp"]{
"mcpServers": {
"minutes": {
"args": [
"-y",
"minutes-mcp"
],
"command": "npx"
}
}
}{
"mcpServers": {
"minutes": {
"args": [
"-y",
"minutes-mcp"
],
"command": "npx"
}
}
}Alternatives to Minutes
same job, measured the same wayZoom Meetings server for meeting search, recordings, transcripts, summaries, and meeting assets.
Persistent memory for AI agents — log and recall conversation context over MCP.
Search and read locally-recorded meeting transcripts over stdio. Read-only, no network.
Screen recording & video platform: search, share, transcribe, translate videos & AI meeting notes
Search transcripts and summaries of your meetings, calls, and recordings in Memo AI
shared AI-context layer for teams — persistent memory your agents search and update over MCP
Private AI context layer for semantic code search, dependency graphs, memory, and workspaces.
Search and read your recorded meetings: notes, action items, participants, transcripts.
Minutes — questions
Answers built from our own checks of this server.