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Manages and persists conversational context across sessions for AI agents.
Implements a server and client architecture to explore and test the MCP concept, leveraging Node.js, TypeScript, and Gemini AI capabilities.
Generates high-quality images from text prompts using OpenAI's DALL-E 3 model via an MCP server.
Leverages Retrieval-Augmented Generation (RAG) to provide a powerful question-answering system for documents and code, featuring Google AI integration and multiple API interfaces.
Compares two JSON strings deeply and order-independently to identify all differences.
Standardizes the interface for working with SAM/BAM/CRAM files through a Model Control Protocol implementation.
Connects to Okta data via the Model Context Protocol (MCP) to enable natural language queries from Large Language Models (LLMs).
Integrates with PayPal's Account Updater service to keep payment card information up-to-date in e-commerce systems.
Controls Philips Hue lights via conversational AI interfaces.
Provides an auto-generated Multi-Agent Conversation Protocol (MCP) server for seamless interaction with the Zoom API.
Enables interaction with a filesystem via the Model Context Protocol (MCP).
Provides a Flask-based web server to expose various utility tools through a user-friendly GUI and REST API.
Enables local execution of Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) applications without external cloud dependencies.
Provides Model Context Protocol integration for Laravel applications, enabling AI assistants to interact with the application via standardized tools.
Exposes Backbone.js Markdown chapters as readable resources and provides a full-text search tool.
Orchestrates seamless collaboration among AI agents like Claude Code, Gemini CLI, and Perplexity AI's research capabilities to enhance development workflows.
Provides a real-time multiplayer Tic-tac-toe game that allows AI agents to connect and play using natural language via a Model Context Protocol server.
Implements a Model Context Protocol server utilizing the GitHub API.
Provides DuckDuckGo search capabilities and web content fetching as a Model Context Protocol (MCP) server.
Manages persistent memories for AI agents and applications, supporting user personalization through the Model Context Protocol.
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