The ShingleAI 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.Documentation Index
Fetch the complete documentation index at: https://docs.shingleai.com/llms.txt
Use this file to discover all available pages before exploring further.
What is MCP?
The Model Context Protocol 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.MCP uses a client-server architecture where AI agents connect as clients to the ShingleAI MCP server. The server exposes tools that agents can discover and invoke to perform actions on your behalf.
Why Use ShingleAI’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 |
Use Cases
AI Assistants
Connect Claude Desktop or other AI assistants to ShingleAI. 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 ShingleAI:- 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.
Next Steps
Authentication
Learn how MCP clients authenticate to the server
Connection Guide
Connect your AI agents to the MCP server