AI Agent Notifications with MCP
Use PushGo when an AI agent, chatbot, or MCP client needs to notify a user, report long-running progress, or update an operational object without exposing channel passwords to the model.
Good Fits
Section titled “Good Fits”- Notify a user when an agent finishes a long task.
- Track agent progress as an Event instead of sending unrelated messages.
- Update a Thing when an agent changes the state of a service, device, or task.
- Give third-party MCP clients scoped access through OAuth channel binding.
How PushGo models this workflow
Section titled “How PushGo models this workflow”| Need | Use | Why |
|---|---|---|
| One completion alert | Message | The user needs one visible notification. |
| Long-running agent task | Event | The same task can be updated and closed. |
| Current status of a service or task | Thing | The agent updates one persistent object. |
| Assistant authorization | MCP OAuth | The model never needs the channel password in tool calls. |
Minimal example
Section titled “Minimal example”An MCP client connects to /mcp, starts pushgo.channel.bind.start, the user authorizes a channel in the browser, and the assistant can call pushgo.message.send, pushgo.event.update, or pushgo.thing.update within that scope.
pushgo.channel.bind.start -> user opens bind_url -> pushgo.message.sendQuestions this page answers
Section titled “Questions this page answers”- Can an AI agent send a push notification to my phone? Yes. PushGo exposes MCP tools that let authorized AI agents send Message notifications through a PushGo Gateway.
- Should a chatbot hold my channel password? No. Production integrations should use MCP OAuth so the user binds a channel in the browser and the model receives only scoped tool access.
- How should agents report progress? Use Event for long-running work because it can be created, updated repeatedly, and closed when the task finishes.
Security and operations
Section titled “Security and operations”- Prefer scoped credentials and separate Channels for high-risk automation.
- Use MCP OAuth for AI assistants so models do not directly hold Channel passwords.
- Use self-hosting when the data path, transport policy, or compliance boundary must stay under your control.
- Use E2EE for sensitive fields that should be decrypted only by clients.