Skip to main content
Glama

Briefcase

Carry your codebase's context wherever you code.

Never re explain your project to an AI again. Briefcase scans your codebase, generates compact AI summaries, tracks changes via git, stores your "why" decisions, and exports a paste ready briefing for Claude, Cursor, Codex, or any AI tool.

Why Briefcase?

Every time you switch AI tools or accounts, you lose context. Briefcase maintains a living briefing document about your project tech stack, file summaries, architecture decisions so the next AI understands your codebase in seconds.

Related MCP server: CodeGraph

Install

cd briefcase
pip install -e .

Set your Anthropic API key for AI powered summaries (optional heuristic fallback works without it):

export ANTHROPIC_API_KEY=sk-ant-...

Quick Start

Inside any project folder:

briefcase init      # Set up .briefcase/ in this project
briefcase scan      # Scan and summarize all significant files
briefcase export    # Copy-paste context into your AI chat

Commands

Command

Description

briefcase init

Initialize Briefcase in the current project

briefcase scan

Full scan summarize all significant files

briefcase update

Incremental update only changed files (via git)

briefcase export

Output paste-ready briefing markdown

briefcase note "..."

Save a decision note (use -f path to attach to a file)

briefcase notes

List all decision notes

briefcase log

Show scan history timeline

briefcase diff

Show briefing changes since last export

briefcase status

Health check — how fresh is your briefing?

briefcase focus <path>

Deep-dive export for one file/folder

briefcase serve

Run as MCP server for direct AI tool integration

How It Works

briefcase scan / update
        │
        ▼
   scanner.py ──► walks project, detects tech stack, skips junk
        │
        ▼
  git_tracker.py ──► finds changed files since last scan
        │
        ▼
  summarizer.py ──► Claude API (or heuristics) per file
        │
        ▼
   storage.py ──► SQLite in .briefcase/briefing.db
        │
        ▼
   exporter.py ──► paste-ready markdown context block

What gets stored

your-project/
└── .briefcase/
    ├── briefing.db    # SQLite — summaries, notes, history
    └── config.json    # Tech stack, settings

MCP Server (Stretch)

Run Briefcase as an MCP server so Cursor or Claude can pull context directly:

briefcase serve

Add to your Cursor MCP config:

{
  "mcpServers": {
    "briefcase": {
      "command": "briefcase",
      "args": ["serve"],
      "cwd": "/path/to/your/project"
    }
  }
}

Available MCP tools: get_briefing, get_briefing_diff, get_project_overview, get_notes, get_file_summary.

Examples

# First time in a project
briefcase init
briefcase scan

# After coding for a while
briefcase update
briefcase export -o CONTEXT.md

# Remember why you made a choice
briefcase note "Chose SQLite over Postgres — single-user, no server needed" -f briefcase/storage.py
briefcase notes

# Before switching AI tools
briefcase diff
briefcase status

Development

pip install -e ".[dev]"
pytest

Project Structure

briefcase/
├── briefcase/
│   ├── cli.py           # CLI commands
│   ├── scanner.py       # Project walker + tech stack detection
│   ├── summarizer.py    # Claude API / heuristic summaries
│   ├── git_tracker.py   # Git diff integration
│   ├── storage.py       # SQLite persistence
│   ├── notes.py         # Decision notes
│   ├── exporter.py      # Paste-ready export
│   └── mcp_server.py    # MCP server mode
├── tests/
├── pyproject.toml
└── README.md

License

MIT

A
license - permissive license
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

View all related MCP servers

Related MCP Connectors

  • One shared context your team's AI tools read & write over MCP. No re-explaining. Free.

  • Your memory, everywhere AI goes. Build knowledge once, access it via MCP anywhere.

  • Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/MauliAhuja/Breif-Case'

If you have feedback or need assistance with the MCP directory API, please join our Discord server