Alexandros Pappas
apappascs
Staff Software Engineer
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Repos
16
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345
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65
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Java
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Top Repositories
Discover the most comprehensive and up-to-date collection of MCP servers in the market. This repository serves as a centralized hub, offering an extensive catalog of open-source and proprietary MCP servers, complete with features, documentation links, and contributors.
spring-ai-examples
Full-stack flight search application demonstrating Model Context Protocol (MCP) with Next.js and Spring Boot. Real-time Google Flights data via SerpAPI.
An MCP server implementation that integrates the Tavily Search API, providing optimized search capabilities for LLMs.
ERC-20 Java Web3j Service
This repository serves as a practical guide and example project for running agents and tasks independently within the CrewAI framework.
Repositories
16Discover the most comprehensive and up-to-date collection of MCP servers in the market. This repository serves as a centralized hub, offering an extensive catalog of open-source and proprietary MCP servers, complete with features, documentation links, and contributors.
Incubating annotation support for MCP. Built on top of the MCP Java SDK: https://github.com/modelcontextprotocol/java-sdk
Official repo for spec & SDK of MCP Apps protocol - standard for UIs embedded AI chatbots, served by MCP servers
Full-stack flight search application demonstrating Model Context Protocol (MCP) with Next.js and Spring Boot. Real-time Google Flights data via SerpAPI.
An MCP server implementation that integrates the Tavily Search API, providing optimized search capabilities for LLMs.
Anthropic's original performance take-home, now open for you to try!
Nexus Knowledge
An Application Framework for AI Engineering
Java SDK for the Model Context Protocol (MCP), providing seamless integration between Java and Spring applications and MCP-compliant AI models and tools.
No description provided.
spring-ai-examples
ERC-20 Java Web3j Service
Public repository for Skills
This repository serves as a practical guide and example project for running agents and tasks independently within the CrewAI framework.
A collection of design patterns and examples for implementing parallel workflows in CrewAI, demonstrating how to leverage concurrency for enhanced efficiency and performance.
Neo4j 3.5.x image with apoc-procedures & graph-algorithms plugins pre-installed.