GlobalLogic’s MCP Factory: Transform Your APIs into Agentic Powerhouses

Model Context Protocol (MCP) took the industry by storm since Anthropic’s release in December of 2024. Conversations shifted from hypothetical questions, “are we building AI agents” to concrete queries, “who can  help us in our journey to an AI-first strategy” and “what is our MCP-enabled agentic strategy.” 

The Model Context Protocol (MCP) is a game-changing standard that simplifies how AI applications connect with external systems, tools, and data. Instead of building one-off integrations for each use case, MCP provides a unified way for intelligent AI agents to understand and interact with the digital world around them. This reduces development overhead, accelerates time-to-market, and enables scalable, enterprise-ready AI solutions. By enabling APIs for MCP, organizations can make their services instantly compatible with a growing ecosystem of intelligent agents—unlocking new automation opportunities, richer user experiences, and more adaptive, responsive products through AI agentic improvement..

In today’s AI-driven landscape, simply having APIs isn’t enough. Many organizations possess a wealth of APIs, but face challenges in adapting them for intelligent AI agents. The Model Context Protocol (MCP) bridges this gap, enabling your APIs to be used by autonomous agents, and offering a path to modernization of APIs, providing a truly transformative capability through API adjustment for AI agents.

Introducing the MCP Factory: A Catalyst for Transforming APIs

Today, we are unveiling the MCP Factory, an offering specifically aimed at API-centric businesses to unlock the agentic potential of their existing APIs. In a market where AI-driven automation is paramount, businesses need more than just APIs, they need intelligent, context-aware systems. The MCP Factory makes that possible by transforming APIs for agentic use and turning them into strategic assets.

What Does the MCP Factory Do For You?

The MCP Factory is our proven methodology for transforming your existing APIs into comprehensive, AI-ready MCP offerings. We don’t just convert technical assets, we elevate them into powerful business drivers. With the MCP factory, you can:

• Rapidly Enable AI Agents: Transform existing APIs for agentic use, from an MCP-enabled passthrough to a sophisticated agentic advisory on the best practices of using a single API or a collection. This supports both scalability and AI agentic improvement across enterprise systems.
• Improve Operational Efficiency: Reduce engineering effort on enabling API access and for code updates in response to new API capabilities of up to 60%, supported by API adjustment for AI agents that automate formerly manual API modifications.
• Unlock New Revenue Streams: Expose your APIs to new markets and partners by providing agentic access to your services. You can create revenue opportunities that weren’t possible before by simply promoting your MCP entry points in agentic marketplaces.
• Enhance Customer Experience: Offer more personalized and responsive services, reducing manual effort 80% by creating intelligent AI agents that advise on the best practices of using APIs or make all the necessary calls behind the scenes for a perfect response.
• Modernize Legacy APIs: Bring standardization across heterogeneous backends  by the introduction of MCP layer. This enforces security and compliance policies at the interface level, and provides observability into performance and usage of API assets by AI applications and AI agents.
• Mitigate Risks: Ensure consistency, security, and faster time-to-value, all while addressing concerns about inconsistent API implementations. Built-in AI governance and data privacy capabilities help in automating AI governance and compliance efforts, enhancing the integrity of modernized APIs.

How the MCP Factory Works

Our comprehensive approach for building MCP server blends GlobalLogic’s consulting expertise, proven architecture templates, and AI tooling to automate MCP server generation, validation, and continuous improvement:

1. API Discovery & Assessment: AI-powered analysis of your API definitions and API documentation detects schema inconsistencies, duplications,  generating a streamlined “MCP roadmap” to guide the API adjustment for AI agents and overall transformation of APIs.
2. Architecture & Design: An AI-assisted design engine applies our Node.js and Python templates to define secure and resilient MCP interfaces, complete with data-governance and compliance policies.
3. Implementation & Integration: Proprietary AI code-generation tools scaffold fully compliant MCP servers in minutes by auto-mapping endpoints. While our consultants ensure seamless integration with intelligent AI agents and AI client applications. In parallel to MCP server code generation, the MCP factory also creates a set of supporting documents with code examples and installation instructions.
4. Testing & Validation: Continuous AI-powered testing and static analysis verifies schema conformance, performance SLAs, and security controls; automatically flagging issues and recommending fixes before deployment.
5. Deployment & Monitoring: We deliver a production-ready, observability-enabled MCP service. AI-based monitoring agents detect anomalies, recommend optimizations, and support phased rollouts while tracking areas for ongoing AI agentic improvement.
6. Feedback & Learning Loop: The MCP Factory ingests feedback from engineers and users, integration guidance, and monitoring results to refine our conversion models and templates. This ensures that every subsequent API is transformed more efficiently and with higher quality.

Part of VelocityAI

The MCP Factory is a crucial part of our VelocityAI initiative, empowering intelligent enterprises through:

1. Making your enterprise and products truly AI-enabled and agentic.
2. Improving your product engineering process with AI-driven processes and tools.
3. Applying AI to improve your operational efficiency.
4. Introducing our Platform-of-Platforms, which our MCP servers rely upon for security, observability, AI governance, and flexible LLM routing. This allows for the creation of continuous improvements to the agentic environment and unlocks new AI-enabled revenue opportunities with appropriate guardrails. 

Real-World Impact

GlobalLogic has a strong track record of transforming APIs by embedding intelligent agents and AI-powered business workflows. Building on this success, the MCP Factory extends these capabilities into API ecosystems, reducing manual effort, simplifying operations, and unlocking new AI services.

Why This Matters

The demand for bringing intelligence in the existing product mix is exploding. Many companies have powerful APIs but struggle to make them accessible to AI agents. API documentation is often created for software engineers and product managers, not agents. Our MCP Factory closes this gap by enabling modernization of APIs, and providing a reliable and scalable solution.

Get Started Today

As CTO of AI at GlobalLogic, I invite you to explore how the MCP Factory can transform your API investments into agentic assets. Contact us to learn more about VelocityAI.