We connect AI models, agents, business tools, and enterprise systems through secure, scalable Model Context Protocol implementations.
Infoteck Solutions helps enterprises design and implement MCP architectures that allow AI applications to securely access tools, data, workflows, and business context. We deliver both Custom MCP solutions and Platform MCP implementations, including Workato-based orchestration for faster enterprise automation.
We design and build custom MCP implementations for organizations that need direct model integration, custom workflows, proprietary systems, and maximum engineering control.
This approach is ideal when your AI solution needs tailored orchestration, domain-specific logic, custom tool handling, or deep integration with internal platforms.
We implement Platform MCP using enterprise integration platforms such as Workato, where MCP becomes part of a managed orchestration layer between AI agents, enterprise apps, and business workflows. This model is ideal when you need faster deployment, prebuilt connectors, stronger governance, and simpler integration with systems such as CRM, ERP, HR, ITSM, and analytics tools. Workato positions its enterprise MCP offering around governed access, auditability, verified user access, and broad application connectivity
We help enterprises enable MCP connectivity across the systems that matter most to business operations and AI effectiveness.
MCP is designed to let AI applications communicate with tools, resources, and enterprise systems through a standard protocol, which makes it especially useful in fragmented enterprise environments.
CRM platforms
ERP systems
IT service management tools
HR and finance platforms
Knowledge bases and document repositories
Databases and analytics environments
Internal APIs and proprietary business applications
Workflow automation and approval systems
Enterprise MCP enables AI systems to work with real business context, not just generate text. It can power AI assistants that retrieve policy, process, and operational knowledge from internal systems, agents that trigger actions inside CRM, ERP, support, and workflow applications through governed access, and enterprise copilots that combine live business data with task execution across multiple platforms.
It is also valuable for AI automation layers that require audit trails, role-based access, and controlled execution, as well as cross-platform integrations where AI needs one reusable connectivity model instead of separate custom connectors.
AI assistants that retrieve policy, process, and operational knowledge from internal systems.
Agents that trigger actions in CRM, ERP, support, and workflow applications through governed access.
Enterprise copilots that combine live business context with task execution across multiple applications.
AI automation layers that require audit trails, role-aware access, and controlled execution.
Cross-platform enterprise integrations where AI needs one reusable connectivity model instead of separate custom connectors.
Let’s help you design the right-fit MCP architecture for your business — whether you need custom model integration, Platform MCP with Workato, or a hybrid enterprise approach.
Enterprise MCP is the use of Model Context Protocol to connect AI applications with enterprise systems, tools, and data sources through a standardized and secure interface.
Custom MCP is built directly for your architecture and workflows, while Platform MCP uses an integration platform such as Workato to provide managed orchestration, connectors, and governance.
That depends on your needs. Many enterprises prefer Platform MCP for speed, governance, and connectors, while others need Custom MCP for specialized workflows or proprietary systems. A hybrid model can combine both
