MCP Server

An MCP (Model Context Protocol) Server is a bridge that lets AI agents like Claude, GPT, or Cursor interact with external tools and services. In messaging, an MCP Server gives AI agents the ability to send messages, read conversations, and manage contacts across channels like WhatsApp, SMS, and Email.

What Is an MCP Server?

The Model Context Protocol (MCP) is an open standard created by Anthropic that lets AI agents use external tools. An MCP Server implements this protocol, exposing a set of tools that AI clients can discover and call.

Think of it as a universal adapter: just as USB-C connects any device to any peripheral, MCP connects any AI agent to any external service through a standardized interface.

MCP Servers for Messaging

A messaging MCP Server gives AI agents access to communication channels. Instead of writing custom API integrations, developers connect their AI agent to an MCP Server and immediately gain the ability to send WhatsApp messages, read support conversations, manage contacts, and run campaigns.

SendSeven's MCP Server at mcp.sendseven.com/mcp exposes 20 tools across 6 channels (WhatsApp, SMS, Email, Instagram, Messenger, Telegram). Setup requires adding one line of configuration to Claude Desktop, Claude Code, or Cursor.

How It Works

  1. Discovery: The AI client connects to the MCP Server and receives a catalog of available tools with typed parameters.
  2. Selection: When a user asks the AI agent to perform an action (e.g., "Send a WhatsApp message to Sarah"), the agent selects the appropriate tool from the catalog.
  3. Execution: The agent calls the tool with the correct parameters. The MCP Server translates this into an API call to the messaging platform.
  4. Response: The result (message sent, conversation retrieved, contact created) is returned to the AI agent, which presents it to the user.

MCP Server vs. REST API

A REST API requires developers to read documentation, write HTTP clients, handle authentication, and parse responses. An MCP Server abstracts all of this. The AI agent reads the tool catalog, understands what each tool does from its description, and calls tools using natural language instructions from the user.

Both approaches access the same underlying platform. The difference is the interface: REST APIs are built for code, MCP Servers are built for AI agents.

SendSeven MCP Server Capabilities

SendSeven's MCP Server includes tools for conversations (list, get, reply, close with AI summary, assign), messaging (send to any channel with auto-selection), email (full HTML support with CC/BCC), contacts (search, create), tags, campaigns, analytics, and knowledge base queries. Authentication uses OAuth 2.0 with automatic token refresh.

What MCP Doesn't Do

The MCP Server does not replace the SendSeven platform UI. Chatbots, keyword triggers, response sequences, activation rules, and flows are still configured in the platform itself. MCP gives AI agents the means to operate the platform — not to configure it. For programmatic access from your own application logic, the REST API is the right path.