Codeglide.ai has introduced its continuous MCP server lifecycle platform, designed to help enterprises remain AI- ready as API ecosystems evolve. The new platform transforms APIs into AI-ready Model Context Protocol (MCP) servers in real time.
Unlike static SDK tools, Codeglide.ai works as an always-on lifecycle platform. It continuously monitors APIs, generates secure MCP servers, and keeps th em in sync. As a result, enterprises provide AI agents and large language models (LLMs) with consistent, context-rich, and reliable system access.
Built on the GitHub Ecosystem
Codeglide.ai, a subsidiary of Opsera, integrates natively with GitHub. The SaaS platform supports GitHub Actions, secrets scanning, and more. Delivered fully on GitHub, it can be accessed via SaaS or directly through GitHub Marketplace.
Solving the API-to-AI Challenge
The demand for AI software engineering has exposed major gaps in API infrastructure. Conventional SDK tools speed up API adoption but fail to meet AI’s dynamic and contextual needs. MCP servers now serve as the standard for AI agents to interact with APIs efficiently.
Large enterprises often manage 2,000–8,000 APIs, with nearly 60% being legacy. Static integration methods cannot adapt to real-time changes, making AI integration slow and unsustainable. Codeglide.ai addresses this challenge.
The Codeglide.ai Advantage
The new platform delivers:
- Automated MCP servers for both modern and legacy APIs.
- Real-time adaptability to evolving APIs.
- Context-aware and secure AI access without costly coding.
- Seamless integration with the GitHub ecosystem.
- Up to 97% faster integration and 90% cost reduction.
Kumar Chivukula, Co-founder and CEO of Opsera, stated:
“AI can’t deliver its potential if APIs remain outdated. Codeglide.ai ensures APIs evolve into secure, AI-ready servers, helping enterprises scale AI confidently.”
Continuous AI Readiness
By managing MCP server lifecycles end-to-end, Codeglide.ai removes integration delays that slow AI adoption. Enterprises can update schemas, retire endpoints, or add new ones without disrupting workflows. This continuous process keeps businesses AI-ready in real time.
Stay informed on IT and data-driven innovations – visit IT Tech News today.
News Source: Prnewswire.com