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mydeveloperplanet.com
| | www.danvega.dev
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| | Build powerful AI integrations by creating your own Model Context Protocol (MCP) server using Spring Boot and Spring AI. This comprehensive guide walks you through implementing a custom MCP server from scratch, enabling AI models like Claude to access your private data sources, execute specialized business logic, and interact with your custom services. You'll learn the MCP architecture, implement tool functions, handle data retrieval, and deploy a production-ready server that seamlessly extends AI capabilities with your organization's unique data and workflows.
| | hypernephelist.com
1.8 parsecs away

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| | In recent projects, I've been exploring the potential of large language models (LLMs) not just to generate code snippets but also to execute them safely in i...
| | glama.ai
2.1 parsecs away

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| | A server that allows interaction with Google's Gemini AI through the Gemini CLI tool using the Model Context Protocol, providing a standardized interface for querying Gemini with various options and configurations.
| | blog.risingstack.com
13.2 parsecs away

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| Learn what are the benefits and best practices of API Gateways for microservices, and how you can start building yours using Node.js