Despite massive AI investment, 70-95% of projects fail to launch due to the "integration bottleneck." The new Model Context Protocol (MCP) offers a universal translator to solve this, but adopting the protocol is not enough. To succeed, enterprises need a strategic operating model. This whitepaper provides a roadmap for moving from fragile demos to production-grade AI by focusing on how you implement MCP. Learn how to:
- Secure Your MCP Servers: Deploy MCP within your own secure perimeter (VPC) to enforce enterprise-grade security and governance that the protocol itself lacks.
- Orchestrate MCP Tools Flexibly: Build a tool-agnostic layer to manage MCP connections, preventing vendor lock-in from hyperscaler platforms.
- Productionize MCP Integrations: Bridge the last mile from a simple MCP connection to a robust, scalable system integrated into real business workflows.
This guide details the architectural framework required to turn the promise of MCP into a durable competitive advantage.
Whitepaper
Despite massive AI investment, 70-95% of projects fail to launch due to the "integration bottleneck." The new Model Context Protocol (MCP) offers a universal translator to solve this, but adopting the protocol is not enough. To succeed, enterprises need a strategic operating model. This whitepaper provides a roadmap for moving from fragile demos to production-grade AI by focusing on how you implement MCP. Learn how to:
- Secure Your MCP Servers: Deploy MCP within your own secure perimeter (VPC) to enforce enterprise-grade security and governance that the protocol itself lacks.
- Orchestrate MCP Tools Flexibly: Build a tool-agnostic layer to manage MCP connections, preventing vendor lock-in from hyperscaler platforms.
- Productionize MCP Integrations: Bridge the last mile from a simple MCP connection to a robust, scalable system integrated into real business workflows.
This guide details the architectural framework required to turn the promise of MCP into a durable competitive advantage.
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Model Context Protocol (MCP) for Enterprise
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Model Context Protocol (MCP) for Enterprise
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Model Context Protocol (MCP) guide to fix AI project failure. Learn to solve AI integration challenges, avoid vendor lock-in, and close critical MCP security gaps.
Key results
Despite massive AI investment, 70-95% of projects fail to launch due to the "integration bottleneck." The new Model Context Protocol (MCP) offers a universal translator to solve this, but adopting the protocol is not enough. To succeed, enterprises need a strategic operating model. This whitepaper provides a roadmap for moving from fragile demos to production-grade AI by focusing on how you implement MCP. Learn how to:
- Secure Your MCP Servers: Deploy MCP within your own secure perimeter (VPC) to enforce enterprise-grade security and governance that the protocol itself lacks.
- Orchestrate MCP Tools Flexibly: Build a tool-agnostic layer to manage MCP connections, preventing vendor lock-in from hyperscaler platforms.
- Productionize MCP Integrations: Bridge the last mile from a simple MCP connection to a robust, scalable system integrated into real business workflows.
This guide details the architectural framework required to turn the promise of MCP into a durable competitive advantage.
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