Unified Connections
Connections are PuppyOne's unified abstraction for managing every external integration.
What is a Connection
In PuppyOne, whether you want to sync data from Notion, create an AI agent, expose an MCP endpoint to Cursor, or mount a local folder, they are all represented as connections.
All connections are stored in the same connections table and distinguished by fields like provider and direction. That gives you one consistent interface for every external integration instead of separate models and workflows.
Connection types
| Type | Description | Direction | Typical Use Case |
|---|---|---|---|
| Sync Source | External data source sync | Pull | Pull data from Notion, GitHub, Gmail, and more into Content Nodes |
| Agent | AI agent | — | Bind a model, system prompt, and tools for chats and automation |
| MCP Endpoint | MCP protocol endpoint | Bidirectional | Expose data access to clients such as Cursor and Claude Desktop |
| Sandbox | Code sandbox | — | Run code in isolated Docker or E2B containers |
| Filesystem | Local folder | Bidirectional | Real-time sync between a local folder and the cloud through OpenClaw |
Sync source
Automatically sync external sources such as Notion pages, GitHub repositories, and Gmail messages into your Project as structured Content Nodes.
Supported sources include Notion, GitHub, Gmail, Google Drive, Google Docs, Google Sheets, Google Calendar, Linear, Airtable, file upload, web scraping, and 15+ platforms in total.
Agent
Create an AI agent with a model such as GPT-4 or Claude, a system prompt, and bound tools. Agents can stream over SSE and can also run on schedules.
MCP endpoint
Create an MCP endpoint with its own URL and API key. Any MCP-compatible client, including Cursor, Claude Desktop, and Claude Code, can access your data through it.
Sandbox
Create an isolated execution environment where agents can run code safely. PuppyOne supports both Docker-based sandboxes and E2B cloud sandboxes.
Filesystem
Mount a local folder to PuppyOne through the CLI for real-time, bidirectional sync. Local agents such as Claude Code can work directly against local files while staying connected to your shared context.
Connection properties
Each connection includes these core properties:
| Property | Description |
|---|---|
id | Unique connection ID |
name | Connection name |
provider | Provider type, such as notion, github, mcp, or agent |
direction | Sync direction: pull, push, or bidirectional |
status | Connection status |
access_key | Access key used in cases like MCP endpoints and agents |
config | Connection configuration in JSON form, varying by type |
Connection lifecycle
Every connection has one of three states:
| Status | Description |
|---|---|
active | Running normally |
paused | Temporarily paused and can be resumed at any time |
error | Something is wrong and the connection needs attention, reconfiguration, or reauthorization |
Manage connections through the CLI
PuppyOne CLI provides a single conn command for every connection type:
# Add connections
puppyone conn add notion <url> # Add a Notion data source
puppyone conn add github <repo> # Add a GitHub repository
puppyone conn add mcp "My Endpoint" # Create an MCP endpoint
puppyone conn add agent "My Agent" # Create an agent
puppyone conn add sandbox "My Box" # Create a sandbox
puppyone conn add folder ~/my-docs # Mount a local folder
# View connections
puppyone conn ls # List all connections
puppyone conn info <id> # View connection details
# Manage connections
puppyone conn pause <id> # Pause a connection
puppyone conn resume <id> # Resume a connection
puppyone conn rm <id> # Delete a connectionExample: Create an MCP endpoint and inspect it
$ puppyone conn add mcp "Product Knowledge Base MCP"
✓ MCP endpoint created
ID: conn_abc123
Name: Product Knowledge Base MCP
API Key: sk_live_xxxxxxxxxxxx
Server URL: https://api.puppyone.ai/api/v1/mcp/server/sk_live_xxxxxxxxxxxx
$ puppyone conn info conn_abc123
Name: Product Knowledge Base MCP
Provider: mcp
Status: active
API Key: sk_live_xxxxxxxxxxxx
Created: 2026-03-09T10:00:00ZManage connections through the Dashboard
Open a Project, then click Connections in the sidebar to view and manage everything in one place. Click New, choose a connection type, and follow the guided setup flow.
Best practices
- Use one connection per agent - Separate access keys and permission settings make auditing and management much easier
- Create MCP endpoints for specific use cases - Different clients or workflows should have their own endpoints and independent permissions
- Pause instead of deleting when possible - Temporary connections can be resumed later without recreating everything
- Check
errorstates regularly - These often come from expired OAuth credentials or changed configuration