> ## Documentation Index
> Fetch the complete documentation index at: https://docs.bizzyco.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> Connect AI agents to Bizzy using the Model Context Protocol

The Bizzy MCP Server provides AI agents with direct access to your business
communication platform. Using the Model Context Protocol (MCP), agents can
manage contacts, customers, messages, automations, and more through a
standardized interface.

## What is MCP?

The [Model Context Protocol](https://modelcontextprotocol.io/) is an open
standard that enables AI assistants to interact with external systems through a
unified interface. Instead of building custom integrations for each AI platform,
MCP provides a single connection point that works with Claude, GPT-based agents,
and other MCP-compatible AI systems.

<Note>
  MCP uses a client-server architecture where AI agents connect as clients to
  the Bizzy MCP server. The server exposes tools that agents can discover and
  invoke to perform actions on your behalf.
</Note>

## Why Use Bizzy's MCP Server?

* **Direct AI Access** - Give your AI agents the ability to read and manage your
  business data without building custom APIs
* **Permission Control** - Fine-grained permissions let you control exactly what
  each agent can access
* **Real-Time Operations** - Agents can create contacts, send messages, manage
  customers, and automate workflows in real-time
* **Standardized Protocol** - Works with any MCP-compatible AI assistant or
  automation platform

## Available Tools

The MCP server provides **106 tools** across 12 resource categories:

| Category            | Tools | Description                                                  |
| ------------------- | ----- | ------------------------------------------------------------ |
| **Automations**     | 7     | Create, update, and inspect automations and their executions |
| **Businesses**      | 20    | Business profile, offerings, and online/physical presences   |
| **Contacts**        | 20    | Contacts and their emails, phones, and addresses             |
| **Customers**       | 10    | Customer records and customer transactions                   |
| **Domains**         | 15    | Domains, domain contacts, and domain registrations           |
| **Email Addresses** | 2     | List and read connected email addresses                      |
| **Email Templates** | 7     | Manage templates, render previews, and send templated email  |
| **Files**           | 5     | Upload, download, list, search, and delete files             |
| **Folders**         | 2     | Create and list folders                                      |
| **Messages**        | 6     | Read messages, threads, and attachments; update status       |
| **Phone Numbers**   | 2     | List and read connected phone numbers                        |
| **Tasks**           | 10    | Task CRUD, search, and assignee management                   |

<Note>
  Phone numbers are not yet generally available: the 2 tools in that category
  are advertised only to organizations with phone enabled. See [Phone Number
  Tools](/mcp-server/tools/phone-numbers).
</Note>

## Use Cases

### AI Assistants

Connect Claude Desktop or other AI assistants to Bizzy. Your assistant can then:

* Look up contact information during conversations
* Create follow-up tasks after meetings
* Search through message history
* Draft and queue messages for review

### Workflow Automation

Build automated workflows that leverage AI decision-making:

* Process incoming leads and create customer records
* Categorize and route messages to appropriate team members
* Generate reports from business data
* Trigger automations based on AI analysis

### Custom Integrations

Develop custom AI-powered applications that interact with Bizzy:

* Build chatbots that can access customer information
* Create AI agents that manage your inbox
* Integrate with other business tools through AI orchestration

## Transports

The MCP server supports two transports. Pick the one your client expects:

* **Streamable HTTP** at `/mcp` — the current MCP transport; recommended for new
  clients.
* **Server-Sent Events (SSE)** at `/sse` — kept for compatibility with clients
  that implement the earlier SSE transport.

See the [Connection Guide](/mcp-server/connection) for full URLs and setup
details.

## Next Steps

<CardGroup cols={2}>
  <Card title="Authentication" icon="key" href="/mcp-server/authentication">
    Learn how MCP clients authenticate to the server
  </Card>

  <Card title="Connection Guide" icon="plug" href="/mcp-server/connection">
    Connect your AI agents to the MCP server
  </Card>
</CardGroup>