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qualityA Node In Layers package that simplifies creation of MCP (Model-Control-Protocol) servers with tools for defining models, adding CRUD operations, and interacting with clients.
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Why this server?
A Node In Layers package that simplifies creation of MCP (Model-Control-Protocol) servers with tools for defining models, adding CRUD operations, and interacting with clients, which would be needed to build agentic AI.
Why this server?
MCP Server simplifies the implementation of the Model Context Protocol by providing a user-friendly API to create custom tools and manage server workflows efficiently, essential for building agentic AI.
Why this server?
An unofficial JavaScript SDK to create customized servers for the Model Context Protocol, allowing definition of prompts, resources, and tools for tailored interactions in your agentic AI.
Why this server?
MCP Server provides a simpler API to interact with the Model Context Protocol by allowing users to define custom tools and services to streamline workflows and processes in building agentic AI.
Why this server?
A meta-server that allows Claude to install other MCP servers from npm or PyPi, enabling easy expansion of Claude's capabilities with external tools, which could be useful when building agentic AI.
Why this server?
A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. Essential for understanding MCP for building agentic AI. Also comes with a huge list of servers you can install.
Why this server?
A production-ready template for building Model Context Protocol servers in TypeScript, offering fast development with Bun, Biome linting, and automated version management for building agentic AI.
Why this server?
A production-ready template for creating Model Context Protocol servers with TypeScript, providing tools for efficient testing, development, and deployment of your agentic AI.
Why this server?
A TypeScript-based template for building Model Context Protocol servers, featuring fast testing, automated version management, and a clean structure for MCP tool implementations, useful for developing agentic AI.
Why this server?
A Model Context Protocol server integration that creates a persistent, searchable working memory for AI-assisted development by enabling automated context recall and knowledge persistence in Chroma, the open-source embedding database, important for agentic AI development.