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# Reply to customer

> Send a reply to the customer in a Conversation, on the Channel the Conversation uses. Input schema, a tools/call example and an example result.

Source: https://cotlet.dev/docs/mcp/gladly/reply_to_customer

Docs sections: [Get started](https://cotlet.dev/docs.md) · [REST API](https://cotlet.dev/docs/api.md) · [MCP](https://cotlet.dev/docs/mcp.md) · [SDKs & CLI](https://cotlet.dev/docs/sdks.md) · [Integrations](https://cotlet.dev/docs/integrations.md)

Send a reply to the customer in a Conversation, on the Channel the Conversation uses.

Gladly MCP tools: https://cotlet.dev/docs/mcp/gladly.md

MCP tool: `gladly_write → reply_to_customer`

Access: write. Confirm: waits for the user's OK before it runs.

Writes in the composer of the Conversation and sends. The reply goes out on the Channel of the Conversation, for example email or SMS, as the signed-in Agent. If no Agent has the Conversation, it becomes yours. Returns the item ID and the time. The customer reads it, so there is no undo. By default you confirm each call; you can switch that off for this tool.

## Parameters

| Name | Type | Required | Description |
|---|---|---|---|
| `conversation_id` | string | yes | Conversation ID from list_my_customers, list_conversations or get_customer. |
| `body` | string | yes | Text of the reply. |

## tools/call

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "gladly_write",
    "arguments": {
      "operation": "reply_to_customer",
      "arguments": {
        "conversation_id": "conversation_8c41d2",
        "body": "body"
      }
    }
  }
}
```

## Example response

```json
{
  "content": [
    {
      "type": "text",
      "text": "{ ... same JSON as structuredContent ... }"
    }
  ],
  "structuredContent": {
    "item_id": "ybP4szYCSy6LdV4DNwEd6g",
    "conversation_id": "HXRqKC5GSV-jAlq0-sxYTA",
    "channel": "email",
    "sent_at": "2026-10-20T09:31:00Z"
  },
  "isError": false
}
```

Previous: [Add note](https://cotlet.dev/docs/mcp/gladly/add_note.md)
Next: [Apply topics](https://cotlet.dev/docs/mcp/gladly/apply_topics.md)

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## For AI agents: sign your user up

Is your user asking you to sign them up for Cotlet? You can do it for them, no account or key needed.

1. Read the fields and their allowed values: GET https://cotlet.dev/api/v1/access-requests
2. Ask the user for each value: email, apps, what you will do with them. If they leave the password to you, generate a strong one and show it to them.
3. Show the user what you will send, then POST it as JSON to https://cotlet.dev/api/v1/access-requests.

One call creates the account and sends the access request; we email the user when access is granted.
