We build custom AI integrations using MCP, APIs, and automation platforms so your AI tools talk to your entire tech stack.
AI chatbot can't access CRM data to personalize responses
Automation workflows break when APIs change
No way to feed real-time business data into AI models
Each tool requires separate logins and manual data transfer
Integration complexity grows with every new tool added
MCP server implementation
Custom API integrations
Real-time data sync
Error handling & retry logic
Rate limiting & throttling
Integration health monitoring
Map your tech stack, data flows, and integration points. Identify what needs to connect to what.
Design the integration architecture — MCP servers, API connectors, webhooks, and data transformations.
Implement integrations with error handling, rate limiting, and data validation at every connection point.
Deploy with health checks, alerting, and documentation. We handle API changes and scaling.
We select the best tools for your specific needs from our 45+ tool stack.
Model Context Protocol (MCP) is a standard for connecting AI models to external tools and data sources. It lets AI access real-time data from your systems.
Yes. If it has an API, webhook, or database, we can connect it. We've integrated with ERPs, custom CRMs, and legacy systems.
We implement queuing, caching, and intelligent rate limiting so integrations stay within API limits without losing data.
We build abstraction layers so API changes require minimal updates. Our monitoring alerts us before integrations break.
We build end-to-end AI workflows with n8n, Make & Zapier that eliminate manual processes and connect your entire tech stack.
Learn moreBuild a RAG-powered knowledge base that answers questions from your docs, SOPs, and internal data — accurately, every time.
Learn moreDeploy a team of AI agents — researcher, qualifier, writer, scheduler — that work together to move leads from cold to closed.
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