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

# What is Alloy Automation

> Learn about the Alloy Automation platform and how it helps technical teams build autonomous AI agents and integrations

# What is Alloy Automation

Alloy Automation is a platform that helps technical teams (Engineering, Product, and AI) create autonomous AI agents and integrations fast. Whether you need a connectivity layer for your agent or a fully-managed, end-to-end agent builder, Alloy Automation provides the infrastructure to power your integration marketplace, AI agent tooling, financial reconciliation, underwriting, order management, and more.

Trusted by global leaders including Amazon, Mastercard, Typeform, and UPS, Alloy Automation delivers enterprise-grade reliability and scale.

## Platform Overview

The Alloy Automation Platform offers three core products designed for different use cases:

```mermaid theme={null}
graph TD
    A[Alloy Automation Platform] --> B[Connectivity API]
    A --> C[Embedded iPaaS]
    A --> D[MCP Gateway]
    B --> E[White-labeled Integrations & AI Agent Tool Calling]
    C --> F[White-labeled Integrations & AI Workflows]
    D --> G[AI Agent Tool Calling]
```

## The Three Products

### 1. Connectivity API

The Connectivity API is a unified interface for connecting to 20+ third-party platforms. It serves as the connectivity layer for AI agents and custom applications.

**Best for:**

* AI agent tool calling
* Custom integration workflows
* Programmatic data synchronization
* Building your own integration layer

**Key capabilities:**

* Hundreds of connectors (HubSpot, Salesforce, Notion, QuickBooks, and more)
* OAuth 2.0 and API key authentication management
* Automatic token refresh
* Schema introspection for dynamic operations
* User and credential isolation

**Common use cases:**

* Enabling AI agents to read from and write to business systems
* Building custom data pipelines
* Powering in-product features

[Learn more about Connectivity API →](/connectivity-api/introduction)

### 2. Embedded iPaaS

Embedded iPaaS (Integration Platform as a Service) provides white-labeled, end-user-facing integrations that you can embed directly into your application.

**Best for:**

* Offering integrations to your customers
* Building an integration marketplace
* No-code/low-code integration experiences
* Pre-built integration templates
* Automating business processes programmatically

**Key capabilities:**

* White-labeled integration UI
* Pre-built workflows and templates
* Visual workflow builder
* Managed runtime and orchestration
* Build complex, multi-step flows
* End-user credential management
* Monitoring and error handling

**Common use cases:**

* SaaS platforms offering native integrations to customers
* Marketplaces requiring seller integrations
* Platforms needing data sync between systems
* Applications with complex multi-step workflows

[Learn more about Embedded iPaaS →](/embedded/quick-start)

### 3. MCP Gateway

MCP Gateway enables LLMs and AI Agents to talk to the outside world by providing a managed gateway for Model Context Protocol (MCP) integrations.

**Best for:**

* AI-powered chat experiences
* Connecting LLMs to business systems
* Autonomous agent orchestration
* Context-aware AI operations

**Key capabilities:**

* Model Context Protocol support
* Managed infrastructure for AI workflows
* Integration with LLM providers
* Context management and state handling

**Common use cases:**

* AI agents that interact with multiple systems
* Autonomous workflow execution
* Context-aware AI applications
* AI-powered business process automation

[Learn more about MCP Gateway →](/mcp/platform/introduction)

## Choosing the Right Product

### Use Connectivity API when:

* You're building AI agents that need raw APIs and more familiar with APIs than MCPs
* You want full control over integration logic
* You're creating custom workflows programmatically

### Use Embedded iPaaS when:

* You want to offer integrations to your end-users
* You need a white-labeled integration marketplace
* Your workflows are multi-step
* You don't want to handle orchestration and runtime
* You want end-users to manage their own connections

### Use MCP Gateway when:

* You're building AI workflows with Model Context Protocol
* You need managed infrastructure for AI agent operations
* You want AI models to interact with business systems
* You're orchestrating autonomous agents

## Platform Features

### Unified Authentication

* OAuth 2.0 flow management
* Automatic token refresh
* API key storage
* Credential isolation per user

### Enterprise Security

* Encryption at rest and in transit
* SOC 2 compliance
* Role-based access control
* Audit logging

### Developer Experience

* RESTful API design
* Comprehensive API documentation
* SDKs and code examples
* Sandbox environments for testing

### Reliability & Scale

* Enterprise-grade 99.9% uptime SLA
* Rate limiting and retry logic
* Error handling and monitoring
* Global infrastructure

## Getting Started

### For Developers

1. **Choose your product** based on your use case
2. **Get API credentials** from your Alloy Automation account
3. **Review documentation** for your chosen product
4. **Build and test** in sandbox environment
5. **Deploy to production** when ready

### Quick Links

* [Connectivity API Quickstart →](/connectivity-api/quick-start)
* [Embedded iPaaS Setup →](/embedded/quick-start)
* [MCP Gateway Guide →](/mcp/getting-started/quickstart)
* [API Reference →](/reference)

## Enterprise Support

Alloy Automation offers enterprise support for production deployments:

* Dedicated account management
* Custom SLAs
* Priority support
* Custom connector development
* Architecture consultation

[Contact Sales →](mailto:contact@runalloy.com)

## Need Help?

* [Support](mailto:support@runalloy.com)