Model Context Protocol
Universal adapter enabling any LLM to interact with your business
What is MCP?
Model Context Protocol (MCP) is Solid's revolutionary protocol that enables any Large Language Model (LLM) to interact with your business data and operations through a standardized interface.
Instead of building custom integrations for each LLM provider, MCP provides a universal adapter layer. Connect GPT-4, Claude, Gemini, or any other LLM to your Solid platform without writing integration code.
MCP is what powers Solid's 11 AI agents, enables multi-LLM strategies, and allows you to build custom AI features that work across any model provider.
69+ Built-in Tools
MCP includes 69+ specialized tools that give LLMs direct access to your business operations:
Database Operations
Query customers, products, orders, and all business data
Payment Processing
Create payments, refunds, subscriptions
Inventory Management
Check stock, update quantities, create products
Email & Communications
Send emails, SMS, push notifications
Analytics & Reporting
Generate reports, analyze trends, forecast metrics
File Operations
Upload, download, process files and documents
Automation Workflows
Trigger workflows, schedule tasks, coordinate actions
SEO & Marketing
Generate meta tags, update sitemaps, notify search engines
Protocol Support
stdio Protocol
Use standard input/output for local development and desktop integrations. Perfect for Claude Desktop, local AI tools, and development environments.
npx solid-mcp --stdioHTTP Protocol
Use RESTful HTTP endpoints for cloud integrations, web applications, and production deployments. Includes authentication, rate limiting, and logging.
https://api.solidnumber.com/mcp/v1MCP Use Cases
Multi-LLM Strategy
Use GPT-4 for customer service, Claude for content generation, and Gemini for analytics—all through one MCP interface.
Custom AI Features
Build your own AI features using MCP tools. No need to write database queries or API integrations—just use the tools.
Agent Coordination
Coordinate multiple AI agents working together. Marketing agent requests data, finance agent approves, operations agent executes.
Third-Party AI Tools
Connect external AI services to your Solid data using MCP as the universal adapter layer.
MCP in Action
Here is how an LLM uses MCP tools to handle a customer request:
Customer: "Show me customers who spent over $1000 this month"
LLM thinks: I need to query customer data
→ Uses MCP tool: database.query_customers
→ Parameters: { min_spent: 1000, period: "this_month" }
→ Gets results with 47 customers
LLM: "I found 47 customers who spent over $1000 this month.
Would you like me to email them a VIP offer?"
Customer: "Yes, send them 20% off their next order"
LLM thinks: I need to send emails
→ Uses MCP tool: email.send_campaign
→ Parameters: {
recipients: [list of 47 customers],
template: "vip_offer",
discount_code: "VIP20"
}
→ Emails sent successfully
LLM: "Done! I sent personalized emails to all 47 VIP customers
with a 20% discount code. You can track opens and clicks
in your analytics dashboard."Start Using MCP
MCP is included in all Business and Enterprise plans. Start building AI-powered features today.