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www.shuttle.dev | ||
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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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ezyang.github.io
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| | | | | Model Context Protocol servers provide a standard interface for LLMs to interact with their environment. Cursor Agent mode and Claude Code use agents extensively. For example, instead of needing a separate RAG system (e.g., as previously provided by Cursor) to find and feed the model relevant context files, the LLM can instead call an MCP which will let it lookup what files it wants to look at before deciding what to do. Similarly, a model can run tests or build and then immediately work on fixing problems when this occurs. It is clear that Anthropic's built-in MCP servers are useful, and you should use agent mode when you can. | |
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github.com
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| | | | | A faster, safer way to build with AI: the GitHub MCP Registry centralizes MCP servers for effortless discovery, integration, and open collaboration. | |
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cupano.com
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| | | My Blog Posts. Contribute to joecupano/blog development by creating an account on GitHub. | ||
