Unlocking MCP for AI Agents: AXYS Offers No-Code Integration, Improved Security, and up to 98.8% in AI Cost Savings

AI Agents powered by the Model Context Protocol (MCP) promise to transform enterprise workflows, but fragmented data, time-consuming endpoint development, and complex security needs hinder real-world adoption. AXYS for AI Agents changes the game by offering seamless, no-code data integration, instant MCP-compliant endpoints, and enterprise-grade security right out of the box. By automating these foundations and reducing AI token usage by up to 98.8%, AXYS enables organizations to scale AI rapidly and cost-effectively.

1. Lack of Practical, Out-of-the-Box Integration

MCP sets a protocol standard but leaves the heavy lifting of actually connecting diverse enterprise data sources—often messy, fragmented, and unstructured—to developers. Most organizations end up building custom connectors, schema mapping, and data harmonization logic from scratch for every project.

How AXYS solves it:

AXYS provides instant, no-code integration with both structured and unstructured data sources, automatically harmonizing schemas and delivering unified, AI-ready data without custom engineering.

AXYS empowers AI agents by eliminating a significant barrier in business AI: access to clean, unified, and ready-to-use data. Instead of spending weeks integrating disparate databases, files, or cloud apps, teams can connect all their structured and unstructured data sources to AXYS in just minutes with no coding required. The platform automatically harmonizes schemas, transforms messy data, and delivers a single, AI-optimized pipeline so AI agents can consume real-time, high-quality information instantly while conserving token usage. 

With AXYS, companies eliminate manual data preparation and backend development, allowing both technical and non-technical teams to orchestrate data for AI Agents at scale. This instant, no-code integration accelerates AI adoption, frees developers from repetitive integration tasks, and ensures every AI Agent operates with the complete, accurate context it needs to deliver results.

2. Manual API & Endpoint Generation Overhead

Turning internal systems into MCP-accessible, real-time endpoints typically requires weeks (or months) of backend development. This bottleneck delays any AI agent deployment and creates constant maintenance burdens.

How AXYS solves it:

AXYS auto-generates real-time APIs and MCP-compliant endpoints instantly—no coding required. It dramatically accelerates project timelines and eliminates manual endpoint management.

Creating APIs and endpoints manually has long been a barrier for companies aiming to deploy AI Agents quickly. Developing and maintaining these integrations usually requires a dedicated team of engineers, extensive backend work, and regular updates whenever business systems or data sources change. This process delays projects, creates maintenance challenges, and diverts resources from more strategic AI initiatives.

AXYS addresses this issue by providing instant, no-code API and endpoint generation for any business data source. With AXYS, teams can easily create and manage secure, real-time data endpoints with just a few clicks. This automation not only eliminates the technical barriers to connecting internal systems but also enables companies to adapt immediately as their data landscape changes. Consequently, AI agents can access the exact information they need, when they need it, without delays or the burden of custom backend development.

3. Data Privacy, Governance & Security Gaps

MCP doesn’t include robust solutions for enforcing enterprise-grade security, tenant isolation, or access control across data pipelines. This leaves companies exposed to compliance and privacy risks when scaling AI agents.

How AXYS solves it:

AXYS is designed for secure, compliant deployment in private cloud or on-premises environments. It provides fine-grained data access and automated governance out of the box.

AXYS is designed for secure, compliant deployment in private cloud or on-premises environments. It provides fine-grained data access, automated governance, and native privacy controls out of the box, ensuring that every AI agent receives the right data at the right time.

Many businesses are reluctant to deploy AI agents at scale due to concerns regarding data privacy, governance, and security. Traditional solutions often lack strong controls, making it challenging to enforce access policies, ensure compliance, and protect sensitive business data, especially when sharing data between different agents or applications.

AXYS tackles these challenges by being deployed directly within the company’s private cloud environment, giving complete control to the business. With integrated security frameworks, fine-grained access management, and automated data governance, AXYS guarantees that only the appropriate agents have access to the right data at the right time. Data never leaves the secure environment, and every action is fully auditable. This strategy eliminates compliance risks, simplifies regulatory oversight, and provides businesses with confidence that their AI-powered operations remain secure and compliant as they scale.