Developer Docs

MCP (Model Context Protocol)

Connect AI agents directly to your Chatloka workspace via the Model Context Protocol. Let your AI assistant manage conversations, contacts, campaigns, and more.

What is MCP?

The Model Context Protocol (MCP) is an open standard that allows AI agents like Claude, Cursor, Windsurf, and other LLM-powered tools to connect directly to your Chatloka workspace. Through MCP, your AI assistant can read conversations, send messages, manage contacts, create campaigns, and perform dozens of other tasks β€” all via natural language.

Why Use MCP?

  • Let AI agents manage your customer conversations autonomously
  • Build custom AI workflows on top of your Chatloka data
  • Automate repetitive tasks like contact updates, campaign creation, and message replies
  • Connect Chatloka to your existing AI tools and agents

MCP Endpoint

Chatloka exposes an MCP server that gives your AI agent full access to conversations, contacts, campaigns, and more.

Chatloka MCP

Manage conversations, contacts, bot flows, campaigns, and more.

https://chatloka.net/mcp/connect

Connects via API key.

Quick Start

1. Get Your API Key

Go to Settings > API Keys and create a key with the scopes you need (e.g. conversations:read, conversations:write).

2. Configure Your AI Agent

Add the Chatloka MCP server to your AI agent configuration:

{
  "mcpServers": {
    "chatloka": {
                        "url": "https://chatloka.net/mcp/connect",
      "headers": {
        "Authorization": "Bearer sk_live_your_api_key_here"
      }
    }
  }
}

3. Start Talking to Your Data

Once connected, you can ask your AI agent things like:

  • "Show me all open conversations from today"
  • "Send a message to contact John about his order"
  • "Create a new campaign targeting VIP contacts"
  • "What's my current subscription usage?"
  • "List all bot flows and toggle the welcome flow off"

Available Tools

The Chatloka MCP server exposes 100+ tools organized by category:

Conversations

(8 tools)
List conversations Get conversation Search messages Send message Send media Update status Assign conversation Get unread count

Contacts

(10 tools)
List contacts Get contact Create contact Update contact Delete contact Sync labels Sync tags Toggle bot Add note List notes

Bot Flows

(8 tools)
List flows Get flow Create flow Update flow Toggle flow Duplicate flow Save nodes List node types

Campaigns

(8 tools)
List campaigns Get campaign Create campaign Update campaign Start/pause/delete List drip campaigns Create drip Get enrollments

AI Knowledge Base

(5 tools)
List knowledge bases Create knowledge base Delete knowledge base Sync knowledge base List AI providers

WhatsApp

(9 tools)
List templates Sync templates Send template List flows List catalogs QR status Reconnect/disconnect QR Broadcast management Warmer sessions & templates

Channels

(6 tools)
List channels Get channel Test connection Toggle bot Update webhook forwarding TikTok status

Analytics

(2 tools)
Dashboard stats Analytics data

Files

(5 tools)
List files Storage usage Get media URL Upload media Delete file

Settings & Team

(4 tools)
List team members List teams List canned responses Create canned response

Billing

(2 tools)
Usage quota Subscription info

Webhooks

(3 tools)
List webhooks Create webhook Delete webhook

Traffic Sources

(4 tools)
List sources Create source Delete source Get source contacts

Social Hub

(6 tools)
List posts Get metrics Create post Automation rules Schedule post Sync posts

WebChat

(5 tools)
List tickets Reply ticket Update status KB articles KB categories

Google Sheets

(8 tools)
List connections List spreadsheets Register spreadsheet Read/write/update/delete rows Search Sheet monitors Import/export Field mappings

Logs

(1 tools)
Outbound message logs

Supported AI Agents

Any AI tool that supports the MCP standard can connect to Chatloka, including:

Agent Config Field
Claude Desktop mcpServers in claude_desktop_config.json
Cursor mcpServers in settings or .cursor/mcp.json
Windsurf mcpServers in cascade_config.json
Cline mcpServers in VS Code settings
Any MCP client Use the MCP endpoint URL and Bearer token authentication
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