Maxiom Technology
Build Intelligent AI Integrations with Enterprise MCP Development
Build intelligent AI integrations with an MCP development partner focused on secure, scalable, and production-ready solutions. We deliver custom MCP server implementations, enterprise-grade security, and legacy system integration — so your AI agents can access the data they need, safely and reliably.
In practice
How we deliver MCP Development
Senior engineers, written scope, and production-ready delivery — not a junior bench wrapped in AI marketing.
Comprehensive Capabilities
Our expert team delivers end-to-end solutions tailored to your business needs.
CRM & Sales System Integration
Connect AI agents to Salesforce, HubSpot, and custom CRMs via MCP servers — enabling intelligent lead scoring, pipeline analysis, and automated sales workflows powered by real-time customer data.
ERP & Financial Data Access
Build secure MCP connectors for SAP, Oracle, NetSuite, and other ERP systems so AI assistants can query financial data, generate reports, and automate accounting workflows without direct database access.
Healthcare Data & HIPAA Compliance
Develop HIPAA-compliant MCP servers that give AI agents controlled access to clinical data, EHR systems, and patient records while maintaining full audit trails and encryption at every layer.
Legacy System Modernization
Wrap legacy mainframe, COBOL, and on-premise systems in MCP interfaces — giving modern AI tools access to decades of institutional data without rewriting core business logic.
Multi-Source Data Aggregation
Build MCP servers that unify data from multiple internal and external sources into a single context layer, enabling AI agents to reason across your entire data landscape in real time.
Custom Workflow Automation
Design MCP-powered automation pipelines that let AI agents execute multi-step business processes — from document processing and approvals to cross-system data synchronization.
Why Leading Companies Trust Us
We combine deep technical expertise with proven delivery methodologies to ensure your project succeeds — on time, within budget, and exceeding expectations.
Organizations using MCP server development deploy AI agents 40-60% faster
Production-ready MCP implementations with enterprise-grade authentication and authorization
Seamless integration with existing tech stacks — no rip-and-replace required
Simple integrations start at $75K-$150K; complex enterprise deployments $300K-$500K+
6-12 weeks for simple implementations, 12-24 weeks for complex multi-system deployments
Full audit logging, role-based access controls, and data governance built in
Get a Free Consultation
Frequently asked questions
What is MCP (Model Context Protocol)?
MCP is an open protocol that standardizes how AI applications connect to external tools and data sources. It enables LLMs and AI agents to securely access your internal systems, databases, and APIs through a unified interface.
Why do enterprises need custom MCP development?
Off-the-shelf AI tools cannot access your proprietary data. Custom MCP development connects AI agents to your CRM, ERP, databases, and legacy systems — turning generic AI into a context-aware enterprise assistant that understands your business.
How long does an MCP implementation take?
Simple MCP server integrations with a single data source take 6-12 weeks. Complex enterprise deployments involving multiple systems, legacy integration, and compliance requirements typically take 12-24 weeks.
What does MCP development cost?
Simple MCP implementations connecting 1-2 data sources range from $75K-$150K. Complex enterprise deployments with multiple system integrations, security requirements, and custom workflows range from $300K-$500K+.
Is MCP secure enough for enterprise use?
Yes. Our MCP implementations include OAuth 2.0, API key management, role-based access controls, full audit logging, and encryption in transit and at rest. We build to SOC 2, HIPAA, and PCI-DSS standards as needed.
Can you integrate MCP with our legacy systems?
Yes. We specialize in wrapping legacy mainframe, COBOL, and on-premise systems in MCP interfaces, giving modern AI tools access to your institutional data without requiring you to rewrite existing business logic.