A TypeScript-based MCP server that enables LLM agents to interact with Gel databases through natural language, providing tools to learn database schemas, validate and execute EdgeQL queries.
A TypeScript MCP server that allows querying documents using LLMs with context from locally stored repositories and text files through a RAG (Retrieval-Augmented Generation) system.
A TypeScript-based MCP server that enables users to manage text notes and generate summaries, showcasing key MCP concepts like resource representation and LLM integration.
A TypeScript framework for building MCP servers with client session management capabilities, supporting tools definition, authentication, image content, logging, and error handling.
A template for creating Model Context Protocol (MCP) servers in TypeScript, offering features like container-based dependency injection, a service-based architecture, and integration with the LLM CLI for architectural design feedback through natural language.
A TypeScript-based server that provides a memory system for Large Language Models (LLMs), allowing users to interact with multiple LLM providers while maintaining conversation history and offering tools for managing providers and model configurations.