#prompt-engineering

AI-powered prompt refinement tool with adaptive questioning and multi-provider support. Provides 5 MCP tools (refine_prompt, tweak_prompt, list_models, list_providers, validate_environment) for intelligent prompt engineering. Supports Google Gemini, Anthropic Claude, OpenAI, Groq, Alibaba Qwen, and Zhipu GLM. Features adaptive task detection, interactive/structured modes, and session history management.

A Model Context Protocol (MCP) Gateway. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE).

PromptStudio - An MCP server and Application for managing AI prompts with collections, variables, execution history, and import/export capabilities.

This repo is dedicated to learning and working with large language models (LLMs), prompt engineering, and modern GenAI tools such as LangChain, RAG, and vector databases.

An LLM-based smart terminal for lazy guys :P

CTX: The missing link between your codebase and your LLM. Context as Code (CaC) tool with MCP server inside.

Global Notion workspace-accessible MCP server for all Notion pages within the workspace

A standardized framework for enhancing how LLMs process and respond to prompts through composable decorators, featuring an official open standard specification and Python reference implementation with MCP server integration.

Automatable GenAI Scripting