Solutions
Production-grade solutions that turn our open-source packages into deployable AI systems for specific business problems. Pick one, follow the DIY tutorial to see how it's done, download the examples and deploy them on your own infrastructure — for free — or tell us which ones you want customized and deployed.
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8 solutions
vertex-ai-inventory-mcp-server-for-shopify-merchants
Shopify merchants want AI agents to answer inventory questions like “which products are low on stock” or “show me variants under $20”, but exposing raw Shopify Admin API keys to a shared agent risks data leakage and API abuse. They need a secure, multi‑tenant gateway that enforces per‑store permissions and prevents one client from overwhelming the API.Multi‑tenant MCP server that gives Vertex AI agents secure, rate‑limited access to real‑time Shopify inventory data, isolated per merchant store.
xai-grok-security-guardrails-for-multi-tenant-smb-chat
SMB SaaS platforms deploying AI chat features across multiple customer tenants risk exposing PII, generating harmful content, or violating compliance policies. A single guardrail layer per tenant is complex to implement and maintain without a composable, configurable safety stack.Enforce PII redaction, content safety policies, and per-tenant guardrails on every xAI Grok-powered chatbot interaction for multi-tenant SaaS.
vertex-ai-mcp-server-for-smb-data-analytics
Small business owners can’t afford a data team. They have data in spreadsheets, a CRM, or a simple database, but translating a question like ‘Which product had the highest margin last month?’ into SQL is beyond their self‑serve abilities.Launch a multi‑tenant MCP server that lets your small business customers ask analytics questions in natural language – powered by Vertex AI and your own BigQuery datasets.
azure-ai-mcp-server-for-smb-business-intelligence
Small business SaaS platforms want to offer AI-powered BI features, but building a secure, multi-tenant server that exposes database tools to agents is complex and easy to get wrong.Deploy a multi-tenant MCP server that lets AI agents query business intelligence dashboards securely, with per-client rate limits and isolated tools.
databricks-mcp-server-for-smb-data-analytics
SMBs using Databricks for business intelligence struggle to let AI agents interact with their data safely—each customer needs isolated access, rate limits, and audit trails, which are complex to build from scratch.Expose Databricks SQL queries as secure, multi-tenant MCP tools for AI agents, with built-in auth, rate limiting, and observability.
agnostic-per-tenant-llm-cost-chargeback
The VP of Engineering at a B2B vertical SaaS company needs to bill each SMB customer for the AI features they use. Without per-tenant cost tracking, the company absorbs all LLM expenses, eroding margins. Existing observability tools don't tie token usage to tenant IDs, making chargeback impossible. The team manually approximates costs, leading to billing disputes and lost revenue.Attribute every LLM call to the right tenant and export cost data to your billing system.
google-gemini-mcp-server-for-smb-business-intelligence
Small business teams waste hours switching between apps to find sales metrics, invoices, and calendar events. They need a single natural language interface that understands their data across tools without building complex integrations.A turnkey MCP server that lets SMB teams use natural language to query their business data from HubSpot, Stripe, and Google Workspace via a secure Gemini-powered interface.
azure-ai-agent-auth-gateway-for-multi-tenant-smb-saas
SMB SaaS platforms that expose AI agent capabilities (MCP tools) to multiple tenants risk data leakage. Without a central auth gateway, a rogue agent can access another tenant's resources, turning an AI feature into a security liability.A drop-in authentication proxy that forces every AI agent tool call to carry a valid Azure AD token, so multi-tenant SMB apps stay secure by default.