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Implements Model Context Protocol servers in multiple languages for use with applications like Claude and Cursor.
Exposes Swagger/OpenAPI endpoints through the Model Context Protocol for AI agent accessibility.
Demonstrates the integration and usage of the GitHub API through MCP server functionality.
Creates and manages Docker containers using the Model Context Protocol.
Enables AI systems to access real-time web search capabilities.
Manages an AWS Aurora Postgres server configured with the Pgvector extension.
Provides a demonstration of MCP server capabilities.
Validates GitHub operation execution through a server integration.
Build Model Context Protocol (MCP) servers with embedded LLM reasoning capabilities.
Enables AI models to perform real-time web searches using OpenAI's web search preview feature.
Provides a server-side Message Control Protocol for AtendeAi.
Enables querying and adding of student information.
Manage and deploy server configurations and scripts.
Enables AI agents to interact with Shopify stores through a standardized protocol.
Locates files by searching for path fragments on a server.
Enables AI coding tools to access and interpret Figma designs for code generation and design token extraction.
Supplies weather data to large language models via the Model Context Protocol.
Enables Claude to perform security scans on Terraform code, visualize AWS cloud architectures, and execute Terraform commands.
Provides a test server implementation.
Manages and deploys MCP servers for the Artifacts MMO game.
Executes shell commands within a defined workspace, enabling communication between external tools and AI clients like Claude.
Provides a minimal ModelContextProtocol server template for building AI assistant tools.
Opens a web browser and navigates to a specified website address.
Serves as the core server component for the Naypalak system.
Executes commands using a fast all-in-one JavaScript runtime.
Retrieves real-time weather reports, forecasts, and satellite images from Taiwan's Central Weather Administration for agentic AI applications.
Provides a Model Context Protocol (MCP) server for managing and serving custom prompts to Amazon Q.
Provides a remote Model Context Protocol (MCP) server with built-in Feishu OAuth authentication, enabling AI clients to interact with Feishu functionalities.
Streamline DevOps processes by providing multi-server management, intelligent scenario mapping, and complete CI/CD lifecycle operations for Jenkins.
Integrates with the Hevy API to programmatically manage workout data, routines, and webhooks.
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