Bot Connector allows you to connect your bot to multiple messaging channels.

It provides a higher level API to manage several messaging platforms at once, and lets you focus on your bot by using a simple and unique format to talk to the entire world.

You can see the API documentation here

Or generate the documentation with the following command:

yarn doc && open doc/index.html

Bot Connector supports the following channels:

• Kik
• Slack
• Messenger

You can find more information on each channel in the wiki

More will be added, and you can contribute if you want to, and add a thumbs up for the channel you want to see implemented first ;) (To do so, fork this repo, add a thumbs up and make a PR!)

• Callr 👍👍
• Cisco Spark 👍👍
• Discord 👍
• Line 👍
• Microsoft Teams 👍
• Ryver 👍
• Skype 👍
• Telegram 👍👍👍
• Twillio
• Viber
• Wechat 👍👍
• Zinc.it 👍

You can find the current roadmap here.

The following examples use yarn package manager but you can use your favorite one like npm, or pnpm.

In order to run the connector you need MongoDB installed and running. The configuration files for MongoDB are stored in config directory.

Clone the repository and install the dependencies

git clone https://github.com/RecastAI/bot-connector.git
cd bot-connector
yarn install

yarn start-dev

First you need to create a bot with Bot Connector's API:

curl -X POST 'http://localhost:8080/bots' --data 'url=YOUR_BOT_ENDPOINT_URL'

Now you need the bot itself. You can use the bot in the example directory as a starter.

cd example
yarn install
yarn start

Now that your bot and Bot Connector are running, you have to create channels to let your bot talk on whatever messaging platform you want. Refer to channels' wiki pages for channel-specific examples.

There are two distinct flows:

• your bot receive a message from a channel
• your bot send a message to a channel

This pipeline allows us to have an abstraction of messages independent of the platform and implement only a few functions for each messaging platform (input and output parsing).

Bot Connector posts on your bot endpoint each time a new message arrives from a channel.

• a new message is received by Bot Connector
• the message is parsed by the corresponding service
• the message is saved in MongoDB
• the message is post to the bot endpoint

To send a new message, you have to post it the to Bot Connector's API

• the messages are saved in MongoDB
• the messages are formatted by the corresponding service to match the channel's format
• the messages are sent by Bot Connector to the corresponding channel

All messages coming from the bot are parsed and modified to match the destination channel specifications. Bot Connector supports several message formats:

• Text message:

[{
  type: 'text',
  content: 'My text message',
}]

• Quick Replies:

[{
  type: 'quickReplies',
  content: {
    title: 'My title',
    buttons: [
      {
        title: 'Button title',
        value: 'Button value',
      },
    ]
  }
}]

• Cards:

[{
  type: 'card',
  content: {
    title: 'My card title',
    imageUrl: 'url_to_my_image',
    buttons: [
      {
        title: 'My button title',
        type: 'My button type', // See Facebook Messenger button formats
        value: 'My button value',
      }
    ],
  },
}]

• Pictures:

[{
  type: 'picture',
  content: 'url_to_my_image',
}]

• Videos:

[{
  type: 'video',
  content: 'url_to_my_video',
}]

If you encounter any issue, please follow this guide.

Want to contribute? Great! Please check this guide.

Copyright (c) [2016] Recast.AI

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

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