by beam-cloud
The filesystem for AI agents
# Add to your Claude Code skills
git clone https://github.com/beam-cloud/airstoreThe filesystem for AI agents
Website · Docs · Demo Video · Discord
Airstore adds any source of data into a virtual filesystem. Connect Gmail, GitHub, Linear — then describe what you need in plain English. Results appear as files that Claude Code can read.
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Claude Code already knows how to read files, search directories, and work with file contents. By turning your integrations into files, Claude can use the same tools it uses for code, for your data.
Source views also let you scope exactly what Claude can access. Instead of granting access to your entire inbox, create a view with just "invoices from last week" — or use structured filters for precise control.
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Go to app.airstore.ai and create an account.
In the dashboard, go to Settings → Integrations and connect a service (GitHub, Gmail, Drive, and more.).
Click New Folder and describe what you want in natural language, or use structured filters:
curl -fsSL https://get.airstore.ai | sh
airstore login
airstore mount ~/airstore
Your source views are now available as local directories:
ls ~/airstore/gmail/invoices/
# stripe-invoice-jan-28.eml
# aws-invoice-jan-25.eml
# digitalocean-jan-22.eml
cat ~/airstore/gmail/invoices/stripe-invoice-jan-28.eml
From: billing@stripe.com
Subject: Your invoice from Stripe
Date: Jan 28, 2025
Amount: $249.00
Status: Paid
cd ~/airstore
claude
Ask Claude to work with your data:
~/airstore/
├── linear/
│ └── design-issues/ # Source view
├── github/
│ └── open-prs/ # Source view
├── gmail/
│ └── invoices/ # Source view
└── tools/
├── github # MCP tool executable
├── linear # MCP tool executable
└── gmail # MCP tool executable
Source views contain data from your integrations, materialized as files. They sync automatically in the background, or manually on demand.
Tools are MCP servers exposed as executables that let you take actions:
~/airstore/tools/github create-issue --repo=acme/api --title="Bug fix needed"
Tools output JSON and can be piped together with standard Unix tools:
~/airstore/tools/wikipedia search "albert" | grep -i 'einstein'
The install script handles everything:
curl -fsSL https://get.airstore.ai | sh
This automatically:
Verify the installation:
airstore --version
| Platform | Status | |----------|--------| | macOS (Apple Silicon) | Supported | | macOS (Intel) | Supported | | Linux (x86_64) | Supported | | Linux (ARM64) | Supported | | Windows | Coming soon |
For development or self-hosted deployments, you can run Airstore entirely on your own infrastructure with your own MCP servers.
FUSE (required):
# macOS
brew install fuse-t
# Ubuntu/Debian
sudo apt install fuse3
Node.js (for npx-based MCP servers):
# macOS
brew install node
# Ubuntu/Debian
sudo apt install nodejs npm
Create a config.local.yaml file:
mode: local
gateway:
grpc:
port: 1993
http:
host: 127.0.0.1
port: 1994
tools:
mcp:
filesystem:
command: npx
args: ["-y", "@modelcontextprotocol/server-filesystem", "/tmp", "/Users"]
memory:
command: npx
args: ["-y", "@modelcontextprotocol/server-memory"]
wikipedia:
command: npx
args: ["-y", "@modelcontextprotocol/server-wikipedia"]
github:
command: npx
args: ["-y", "@modelcontextprotocol/server-github"]
env:
GITHUB_TOKEN: "${GITHUB_TOKEN}"
airstore mount ~/airstore --config config.local.yaml
Your tools are now available:
ls ~/airstore/tools/
# filesystem memory wikipedia github
# Search Wikipedia
~/airstore/tools/wikipedia search "artificial intelligence"
# List files
~/airstore/tools/filesystem list_directory /tmp
# Get help for any tool
~/airstore/tools/filesystem --help
git clone https://github.com/beam-cloud/airstore
cd airstore
make build
./bin/cli mount ~/airstore --config config.local.yaml
Full documentation at docs.airstore.ai:
PRs welcome! See CONTRIBUTING.md for guidelines.
Join our Discord to discuss ideas and get help.
AGPL 3.0 License - see LICENSE for details.