briefcase
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@briefcaseget me the project briefing"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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: ContextAtlas
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 chatCommands
Command | Description |
| Initialize Briefcase in the current project |
| Full scan summarize all significant files |
| Incremental update only changed files (via git) |
| Output paste-ready briefing markdown |
| Save a decision note (use |
| List all decision notes |
| Show scan history timeline |
| Show briefing changes since last export |
| Health check — how fresh is your briefing? |
| Deep-dive export for one file/folder |
| 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 blockWhat gets stored
your-project/
└── .briefcase/
├── briefing.db # SQLite — summaries, notes, history
└── config.json # Tech stack, settingsMCP Server (Stretch)
Run Briefcase as an MCP server so Cursor or Claude can pull context directly:
briefcase serveAdd 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 statusDevelopment
pip install -e ".[dev]"
pytestProject 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.mdLicense
MIT
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
One shared context your team's AI tools read & write over MCP. No re-explaining. Free.
The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.
Your memory, everywhere AI goes. Build knowledge once, access it via MCP anywhere.
Share one project context across ChatGPT, Claude, Telegram and any MCP client.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceProvides AI assistants with a structured, token-efficient map of a codebase's symbols, dependencies, and relationships via MCP tools like overview, query, and impact analysis.8MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI coding agents to retrieve and manage code context with hybrid search, project memory, and observability via MCP tools.29MIT
- AlicenseNot gradedqualityCmaintenanceAI context management for codebases – enables Claude Code to read, search, and update project documentation via MCP.MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI coding assistants to semantically search and retrieve relevant code patterns, documentation, and implementations from a codebase via MCP tools.7MIT