IBM Just Gave Away Its $2M AI Secret: The MCP Gateway That Actually Works (Your Competitors Are Already Using It)

Author(s): Gowtham Boyina Originally published on Towards AI. How One Open-Source Tool Federates 50+ AI Servers, Wraps Any REST API as an MCP Tool, and Slashes Deployment Time from Weeks to 60 Seconds — Without Touching a Single Line of Legacy Code I’ve been checking with Model Context Protocol servers for months, and there’s this constant operational headache: you need to connect multiple MCP servers to your AI application, each with different authentication schemes, some behind firewalls, some exposing REST APIs that aren’t MCP-compliant. You either build custom integration logic for each one or accept that your AI can only access a handful of carefully configured tools. source:https://camo.githubusercontent.com/4ad799b9c5731013cfa2898bece94355a8702eec7d31c210b8a7e4c9e88b8b89/68747470733a2f2f69626d2e6769746875622e696f2f6d63702d636f6e746578742d666f7267652f696d616765732f6d6370676174657761792e676966IBM Research’s MCP Context Forge introduces a streamlined approach for integrating Model Context Protocol (MCP) servers by simplifying authentication and server connections, enhancing deployment efficiency. This open-source infrastructure allows users to manage multiple MCP servers seamlessly while mitigating the challenges of different authentication schemes, leading to faster and more accessible AI application development without the need for extensive legacy code modifications. Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI