mcpField
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minutes

minutes

Local
useminutes.appMemory & Knowledge1.6kUpdated 1d ago

About minutes

Minutes is an open-source local conversation memory app for people who want AI to search meeting, call, and voice memo history. It records, transcribes, and stores Markdown files on-device, with access through MCP, a CLI, and an SDK.

Key features

  1. 01Local recording and transcription
  2. 02Markdown file storage
  3. 03Meeting history search
  4. 04Desktop app and CLI
  5. 05MCP and SDK access

Use cases

  1. 01Retrieve decisions from past meetings
  2. 02Search calls and voice memos
  3. 03Share meeting context with AI
  4. 04Organize records in a personal vault

MCP support

Its MCP server exposes local meeting tools and resources to MCP clients. Clients can search the meeting history the user chooses to share.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"minutes": {
"command": "npx",
"args": [
"-y",
"minutes-mcp"
]
}
}
}
Run commandnpx -y minutes-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmminutes-mcp0.31.1

Tools

34

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
titlestringNoOptional title for this recording
modeenumNoLive capture modemeeting | quick-thought
intentenumNoOptional recording intent. If omitted and a known call app is active, Minutes may infer call intent.memo | room | call
allow_degradedbooleanNoAllow a mic-only capture to continue even if Minutes detects a call but no system-audio route is configured.
languagestringNoTranscription language code (e.g. 'en', 'ur', 'es', 'zh'). Overrides config.toml setting.
skip_audio_probe_reasonstringNoPer-call reason to skip the system-audio readiness probe. This is not persisted and is written into recording_health.

Details

From the project README

minutes

GitHub stars License: MIT crates.io npm

useminutes.app

Minutes is a free, open-source conversation memory app for the AI you already use. Record and transcribe meetings, calls, voice memos, and dictation on your device, then let Claude Code, Codex, Cursor, or another MCP client search the history you choose to share. Your records are Markdown files you own in ~/meetings/.

Capture, transcription, and storage run locally. If you choose a cloud AI assistant or summarizer, the meeting context you authorize is sent to that provider.

Your conversations. Your memory. Ready for the AI you use.

minutes demo; record, dictate, phone sync, AI recall

Install

Choose the desktop app or one standalone CLI installation. The desktop app includes a CLI: use About Minutes → Set up CLI to add it to your PATH.

brew install --cask silverstein/tap/minutes  # Desktop app, with bundled CLI
brew install silverstein/tap/minutes         # Standalone CLI alternative
cargo install minutes-cli                   # Standalone CLI via Cargo

For an agent connection, add the MCP server separately with claude mcp add minutes -- npx -y minutes-mcp (or run npx minutes-mcp from another MCP client).

If Homebrew reports an untrusted tap, run brew trust silverstein/tap once.

Ask your agent

Add Minutes to your agent, seed five sample meetings (no mic needed), then ask about them:

claude mcp add minutes -- npx -y minutes-mcp
minutes demo --full

What did we decide about monthly billing, and did it stick?

The answer spans two meetings a month apart: launched on Feb 28, reversed on Mar 25.

A direct MCP call uses the same local meeting files:

search_meetings({"query":"monthly billing decision"})

Record a real one with minutes record, then minutes stop to transcribe. minutes demo --clean removes the samples. Setup: Codex, Gemini CLI, and Claude Desktop, Cursor, OpenCode, Pi, Mistral Vibe, and Cowork or Dispatch.

Works with

Claude Code · Codex · Cursor · OpenCode · Pi · Gemini CLI · Claude Desktop · Mistral Vibe · Cowork · Dispatch · Obsidian · Logseq · any MCP client

How it compares

WorkflowGranolaOtter.aiAnarlog (formerly Hyprnote)Minutes
ProductHosted meeting notepadHosted meeting assistantLocal meeting notepadLocal conversation memory
Agent accessHosted MCPHosted integrationsCLI + MCPLocal files, MCP, CLI, SDK
Primary storageHosted workspaceHosted workspaceLocal SQLite + filesLocal Markdown + YAML
Local AICloud transcriptionCloud transcriptionWith local providersLocal transcription; AI provider of your choice

Reviewed September 5, 2026 against Granola MCP, Otter privacy and security, and the Anarlog repository. Anarlog's community app is MIT; its enterprise components use a commercial license. See the detailed comparison and open-source alternatives for fit and limitations.

Who it's for

Agent-first users treat Minutes as the capture layer of a local second brain. They search meetings through Claude Code, Cursor, Codex, OpenCode, MCP, or the CLI, then fold useful context into a vault or wiki they own.

Desktop notetaker users record and read results in the app. They value reliable setup, clear processing and recovery, Recall, documents, Coach, and summary quality. See the full persona notes.

Surfaces

SurfaceWhat it providesDocs
Desktop appMenu bar capture, dictation, Recall, documents, and Coach.Install
CLI (60 commands)Local recording, processing, search, import, and automation.Commands
MCP server (34 tools)Local meeting tools and resources for any MCP client.MCP reference
Claude Code plugin (23 skills)Prep, capture, live help, debrief, and memory workflows.Client setup
SDKTypeScript access to meeting files without MCP.Agent architecture

Dictation

The desktop Dictation settings bring writing preferences, personal spellings and snippets, microphone selection, and recent text together. Cursor context is optional and stays on the Mac. Recovery restores text for review; local edits use an explicit Ollama preview, and spelling corrections require confirmation.

See dictation behavior and evaluation boundaries for supported fields, safe insertion and undo, clipboard restoration, and the synthetic benchmark.

Output format

Meetings are plain markdown with structured YAML frontmatter:

---
title: Q2 Pricing Discussion with Alex
type: meeting
date: 2026-03-17T14:00:00
duration: 42m
context: Discuss Q2 pricing
action_items:
  - assignee: mat
    task: Send pricing doc
    due: Friday
    status: open
decisions:
  - text: Test monthly billing with 10 advisors
---

See the frontmatter schema. Files work with Obsidian, grep, and any markdown tool.

Privacy & consent

  • Transcription and speaker processing run on-device. Audio stays on your machine.
  • Sensitive meetings save typed markers without audio and default to restricted.
  • Consent reminders, acknowledgement, and provenance help you disclose recording.
  • Text leaves the machine only when you send authorized context to a cloud agent or summarizer.

See the security documentation and consent enforcement design.

Docs

Contributing

See CONTRIBUTING.md. Minutes is MIT licensed and staying that way: no relicensing, no paid tier for anything in this repo.

MIT. Built by Mat Silverstein, founder of X1 Wealth.

Star History

Star History Chart

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.