AI & MCP Connectivity
Securely connect AI agents, LLMs, MCP servers, APIs, tools, and enterprise systems through governed AI Gateway and integration architectures.
Overview
AI & MCP Connectivity is a DAYCP solution designed to help enterprises adopt AI agents, LLM-powered applications, and Model Context Protocol architectures in a secure, governed, and scalable way.
As organizations move from simple chatbots to agentic AI systems, AI applications need to connect with internal APIs, databases, SaaS platforms, documents, workflows, and business tools. MCP provides a standardized way for AI applications to access external systems, but it also introduces new security, governance, observability, and operational challenges. Without a controlled architecture, enterprises may expose sensitive data, create unmanaged MCP servers, allow excessive tool access, or lose visibility into what AI agents are doing.
DAYCP helps organizations design and implement an enterprise-grade AI connectivity layer using AI Gateway, MCP Gateway, API Gateway, security, and observability technologies. This enables centralized control over AI traffic, model access, tool usage, authentication, authorization, rate limiting, audit logging, prompt governance, sensitive data protection, and integration with existing enterprise systems.
Our approach helps security, platform, DevOps, architecture, and application teams build AI-enabled services safely while maintaining control over compliance, cost, data exposure, and operational risk. The goal is not only to connect AI systems, but to make those connections secure, observable, governable, and production-ready.
Key Features
- AI Gateway architecture design
- MCP server discovery and governance
- Secure LLM and AI agent connectivity
- MCP Gateway and API Gateway integration
- Authentication, authorization, and access control for AI tools
- Prompt, token, and traffic policy enforcement
- Sensitive data protection and PII redaction
- Rate limiting, quota management, and cost control
- Audit logging and AI traffic observability
- Agentic AI security assessment
- Integration with APIs, databases, SaaS tools, and internal systems
- Hybrid, cloud, Kubernetes, and on-premises deployment support
Available via Partners
Delivers Services
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