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Connects Model Context Protocol (MCP) servers to Nostr's Data Vending Machine (DVM) ecosystem.
Provides persistent memory and multi-model LLM support via a Model Context Protocol (MCP) server.
Provides a comprehensive Model Context Protocol (MCP) server for seamless integration with the 1C:Напарник AI assistant.
Provides an open-source A2A Protocol client and comprehensive developer toolkit for robust agent-to-agent communication.
Converts Figma designs into code by providing a structured workflow for AI-optimized design analysis.
Unifies access to multiple Model Context Protocol (MCP) servers from various AI tools and development environments.
Provides a production-ready NestJS boilerplate featuring JWT authentication, PostgreSQL/Prisma, AWS integrations, robust queuing, containerization support, and Model Context Protocol for AI capabilities.
Provides a robust template for developing and deploying Model Context Protocol (MCP) servers using Deno.
Provides HTTP and Stdio transports for interacting with PostgreSQL databases through the Model Context Protocol.
Enables text-to-speech capabilities using the Rime API, playing audio through the system's native audio player.
Scaffold and generate go-zero projects, including APIs, RPC services, and database models, with AI assistance.
Provides AI systems with code structure analysis capabilities using Abstract Syntax Trees (ASTs) and Abstract Semantic Graphs (ASGs).
Provides a secure, multi-tenant Model Context Protocol (MCP) server framework for modern AI application development.
Enables LLM agents to interact with Industry Foundation Classes (IFC) files.
Enables AI agents to manage Umbraco CMS content and back-office tasks through natural conversation and secure API access.
Enables programmatic interaction with Label Studio instances for managing labeling projects, tasks, and predictions.
Enables programmatic creation and control of GNU Radio flowgraphs through a Machine Control Protocol (MCP) server.
Maps clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts leveraging Large Language Models.
Enables AI systems to interact with data sources and tools through the Model Context Protocol (MCP), providing fast, reliable RAG powered by Vectara.
Enables AI models to search, retrieve, and utilize GIFs from Giphy.
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