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What is MCP?

MCP (Model Context Protocol) is a standardized protocol developed by Anthropic that allows AI assistants to:

Connect to external data sources and APIs

Execute actions in third-party systems

Access real-time information

Maintain security and user context

Think of MCP as a universal adapter that lets AI assistants interact with any system that speaks the protocol. You can read more about MCP here.

How Alloy Implements MCP

Alloy’s MCP Server acts as a bridge between MCP clients and the integrations in the Alloy platform:

Key Features

🚀 Instant Access to 250+ Integrations

Connect Claude to Slack, HubSpot, Salesforce, Notion, and hundreds more platforms without writing any code.

🔐 Enterprise-Grade Security

  • OAuth 2.0 authentication for secure platform connections
  • AES-256 encryption for stored credentials
  • Per-request isolation to prevent data leakage
  • Fine-grained access controls and restrictions

🎯 Smart Tool Discovery

MCP clients can automatically discover available actions and learn how to use them through the MCP protocol.

👤 Multi-User Support

Each user gets their own isolated data context, perfect for teams and organizations.

Real-Time Operations

Execute actions instantly - send messages, create records, fetch data - all in real-time.

Core Concepts

1. Servers

An MCP server is an instance that MCP clients connect to. Each server can have:
  • Access restrictions to control what the AI can do
  • Unique authentication tokens for security
  • Public or private access modes

2. Tools

Tools are the actions MCP clients can perform. In connectivity mode, you get 8 powerful tools:
  • list_connectors_alloy - Discover available platforms and integrations
  • get_connector_resources_alloy - See what actions are available for each platform
  • get_action_details_alloy - Get detailed parameter information for actions
  • execute_action_alloy - Perform actions on connected platforms
  • create_credential_alloy - Set up new platform connections via OAuth or API keys
  • get_credentials_alloy - List existing credentials for a connector
  • get_credential_metadata_alloy - Get authentication requirements for platforms
  • discover_action_path_alloy - Get intelligent workflow suggestions

3. Connectors

Connectors are the 250+ pre-built integrations with platforms like:
  • Communication: Slack, Microsoft Teams, Twilio,
  • CRM: Salesforce, HubSpot, ServiceNow
  • E-commerce: Shopify, WooCommerce, BigCommerce
  • Productivity: Notion, JIRA, ClickUp
  • And many more…

4. Restrictions

Control what MCP clients can access with three types of restrictions:
  • Connector restrictions: Limit which platforms the AI can use
  • Action restrictions: Block specific actions (like deleting data)
  • User restrictions: Control access for specific users

Common Use Cases

Customer Support Automation

Let AI assistants handle support tickets by connecting to Zendesk, searching knowledge bases, and drafting responses.

Sales Intelligence

Connect AI assistants to your CRM to get instant insights, update deals, and track customer interactions.

Content Management

Use AI assistants to manage content across Notion, WordPress, and other platforms simultaneously.

Workflow Automation

Create complex workflows where AI assistants orchestrate actions across multiple platforms.

Data Analysis

Pull data from various sources and have AI assistants analyze and report on trends.

Getting Started

Ready to connect AI assistants to your business apps? Here’s how to begin:

Why Choose Alloy MCP?

  • No Code Required - Connect platforms without writing integration code
  • Production Ready - Built on Alloy’s battle-tested infrastructure
  • Instant Updates - New connectors added regularly
  • Enterprise Support - Get help when you need it
  • SOC 2 Compliant - Enterprise-grade security and compliance

Next Steps

The Alloy MCP Server is built and maintained by Alloy Automation, the leading embedded integration platform.
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