# Dialogbrain

> Use this tool when you need to manage multiple messaging channels in one place, consolidating interactions from WhatsApp, Telegram, email, and voice channels into a unified inbox. Dialogbrain solves the problem of fragmented communication by providing a single interface for AI agents to read, send, and search messages, as well as trigger automated responses. It is ideal for use cases requiring omnichannel messaging management, with inputs from various channels and outputs of automated responses through its MCP endpoint at api.dialogbrain.com.

Canonical page: https://skillsregistry.net/skills/dialogbrain  
JSON: https://api.skillsregistry.net/v1/skills/dialogbrain

## Description

Dialogbrain provides a unified messaging inbox for AI agents, consolidating WhatsApp, Telegram, email, and voice channels into a single interface. Agents can read and send messages, search conversation history, and trigger automated responses across all connected channels. The service is hosted at dialogbrain.com with an MCP endpoint at api.dialogbrain.com.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dialogbrain)
- **Repository:** <https://github.com/saloprj/dialogbrain-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dialogbrain"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dialogbrain` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dialogbrain/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt