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konghq.com | ||
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google-gemini.github.io
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| | | | | An open-source AI agent that brings the power of Gemini directly into your terminal. | |
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www.apideck.com
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| | | | | In this article, we dive deep into what MCP actually is, how it works behind the scenes, and why it's being called the "USB-C for AI models." You'll explore how it simplifies AI integrations, the roles of Hosts, Clients, and Servers, and the security risks developers need to keep in mind. | |
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glama.ai
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| | | | | Provides a Model Context Protocol interface to the Gemini CLI, enabling AI agents to call the Gemini model and interact with development tools like code linting, GitHub operations, and documentation generation. Includes security measures to prevent unauthorized file access through path validation. | |
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blog.christianposta.com
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| | | As API adoption matured in enterprise organizations, a natural pattern emerged and we are seeing something similar in AI agent architectures: using layers to contain complexity. Dealing with team boundaries, business flows, communication patterns, etc can get complex very fast. Starting with basic building blocks and then layering in concepts around reusability, encapsulation and separation of responsibilities help to reduce cognitive overload. | ||
