Connect AI to everything your business runs on.
We build custom MCP servers and integrations that let AI agents read, write, and act inside your real business systems — not just chat about them.
Book Your Free 30-min AI Audit → ← Back to AI Services
The Problem
Most AI projects stall at the same point: the AI is impressive in chat, but it can’t actually DO anything because it can’t reach your business systems. Your CRM. Your ERP. Your custom database. Your project management tool. Your industry-specific platform.
Off-the-shelf integrations cover the basics (Salesforce, Slack, Google Workspace) but break down the moment you need something custom — and most businesses run on custom or specialized software.
Model Context Protocol (MCP) is the new standard for connecting AI agents to tools, and custom MCP servers are how serious AI deployments handle the long tail of integrations. We build them.
Curious if this fits your business?
Book a free 30-minute AI Audit. We’ll identify 1-3 specific opportunities with clear ROI estimates. No pitch, no slides.
Book Your Free Audit →What We Build
We build custom MCP servers that let AI agents — Claude, ChatGPT Enterprise, custom agents — interact with your specific tools and data. Each MCP server exposes the right capabilities (read records, create records, run queries, trigger workflows) with the right permissions.
The result: your AI assistants stop being limited to general knowledge and start operating inside your actual business — reading customer records, updating tickets, processing orders, running reports, all the things that actually move the needle.
Built for results, not demos
Every system we build has measurable success criteria from day one. We don’t ship pretty UIs that no one uses — we ship outcomes.
Your team gets a working solution that fits the way you actually run, with full documentation, training, and our team on call when something needs tuning.
How It Works
Integration audit
We map which systems your AI needs to touch and what capabilities are needed in each.
Design MCP server
We design tools, schemas, and permissions models that balance AI capability with safety.
Build and secure
Implementation with proper auth, rate limiting, audit logging, and permission boundaries.
Deploy with monitoring
Production deployment with observability, error handling, and ongoing maintenance.
What It Looks Like
Where This Wins
Connect to Custom CRMs/ERPs
AI agents that work inside your home-grown or industry-specific systems, not just the popular ones.
Internal Tool Access
Give AI safe access to your internal admin tools, deployment systems, monitoring platforms.
Multi-System Workflows
AI orchestrating workflows across many systems — read from one, transform with logic, write to another.
Industry Platforms
Connect AI to MLS systems, EHRs, court filing systems, banking platforms, and other vertical-specific tools.
The compounding effect
Most AI projects deliver one-time gains. Ours compound. As more of your operations run through AI systems, the data they collect makes them sharper week over week.
Six months in, you’ll be running circles around competitors who are still doing the work the old way.
Start with a Free Audit →
Why demelos
Standards-based
We build to the MCP standard, so your investments work with Claude, ChatGPT, and future AI clients.
Security first
Proper auth, permissions, audit logs, and rate limiting. AI gets capability, not unbounded access.
Production-grade
Built for real use — monitoring, error handling, observability. Not toy demos.
Questions, answered
Model Context Protocol — an open standard from Anthropic for letting AI models discover and use external tools/data. It’s becoming the industry standard for AI-to-system integration.
Designed for any MCP-compatible client. Claude supports it natively; ChatGPT and others are adding support. We can also adapt for proprietary protocols where needed.
Anything with an API or even a portal. We’ve built connectors for SaaS platforms, custom databases, legacy systems, industry-specific platforms, and IoT devices.
Auth (OAuth, API keys, mTLS), per-tool permissions, rate limiting, comprehensive audit logging, and human-approval workflows for sensitive actions.
We can hand off (with documentation and training) or maintain on retainer. Most clients prefer the latter so we evolve with their systems.
Simple integrations: 1-2 weeks. Complex multi-system MCP servers: 4-8 weeks. We scope precisely upfront.
