# Ask for the outcome. Build the whole flow.

Give your agent a connected workspace, a clear task, and the context to follow it through.

[Get started](/dashboard/signup)

[Contact Sales](/demo)

## From prompt to delivered.

Your agent can set up channels, manage customers, and confirm delivery. Full read and write access through MCP and CLI.

**MCP**: `https://mcp.bird.com`

```json
{
  "name": "voice_legs_list"
}
```

Examples: [MCP](/de-de/ai/agents.mcp.md) · [CLI](/de-de/ai/agents.cli.md) · [TypeScript](/de-de/ai/agents.ts.md) · [Python](/de-de/ai/agents.py.md) · [Go](/de-de/ai/agents.go.md) · [PHP](/de-de/ai/agents.php.md) · [HTTP](/de-de/ai/agents.http.md)

## A useful first run.

Make the workspace, task, and expected result explicit.

- ### Connect your agent

Choose a supported MCP client or install the CLI. Reuse an existing Bird connection if you already have one.
- ### Confirm the workspace

Read your identity and workspace. Check which sender or resource the task should use.
- ### Ask for a complete outcome

Include the recipient, content, and result you want checked. Let the agent show the operation and its response.[Set up your agent](/docs/ai/set-up-your-agent)

## Make the request worth following.

Start with one concrete outcome, then connect the next step.

Understand a delivery issue Copy prompt

```
Check my recent email failures. Group them by reason, inspect the affected sending domain, and tell me what needs fixing before making changes.
```

Prepare a new channel Copy prompt

```
Help me set up SMS for order updates. Check my workspace and available senders, explain what is missing, then prepare a test for a number I provide.
```

See what is happening now Copy prompt

```
List the Voice calls that are active right now. Separate connected calls from calls that are still ringing, and show their IDs.
```

## Keep building.  Everything connects.

Take the next step with the tools and guides for your project.

[### MCP server

Connect through your preferred AI tool.](/ai/mcp)[### CLI

Run Bird from scripts and your terminal.](/ai/cli)[### Skills

Give your agent the product context.](/ai/skills)



## Related resources

- [Setting up your coding agent](/learn/basics/setting-up-your-coding-agent) (video)
- [What is an MCP server, and how does an agent use one to send messages?](/explained/platform/what-is-an-mcp-server-and-how-does-an-agent-send-messages) (answer)
- [Build with AI agents](/learn/paths/agents) (course)

[Get an implementation brief](/learn/workspace?topic=agents)