MCPs tagged with # prompt-engineering

Amazon Bedrock MCP Server implements the Model Control Protocol to enable advanced AI image generation using Amazon's Nova Canvas model. It provides features like deterministic output through seed control, negative prompts, and configurable quality and image dimensions. Secure and flexible AWS credential management is supported, along with integration for Claude Desktop and robust input validation. The solution ensures high-quality, reproducible image generation workflows tailored for both developers and integrated applications.

• ⭐ 22
• MCP
• zxkane/mcp-server-amazon-bedrock

MCP Server for Deep Research provides an end-to-end workflow for conducting in-depth research on complex topics. It elaborates on research questions, generates subquestions, integrates web search, analyzes and synthesizes retrieved content, and generates structured, well-cited research reports. The tool integrates with Claude Desktop and leverages prompt templates tailored for comprehensive research tasks.

• ⭐ 187
• MCP
• reading-plus-ai/mcp-server-deep-research

Lucidity MCP is a Model Context Protocol (MCP) server that empowers AI coding assistants to deliver high-quality code through intelligent, prompt-driven analysis. It offers comprehensive detection of code issues across multiple quality dimensions, providing structured and actionable feedback. With language-agnostic capabilities, extensible framework, and flexible transport options, Lucidity MCP seamlessly integrates into developer workflows and AI systems.

• ⭐ 72
• MCP
• hyperb1iss/lucidity-mcp

Context7 MCP delivers current, version-specific documentation and code examples directly into large language model prompts. By integrating with model workflows, it ensures responses are accurate and based on the latest source material, reducing outdated and hallucinated code. Users can fetch relevant API documentation and examples by simply adding a directive to their prompts. This allows for more reliable, context-rich answers tailored to real-world programming scenarios.

• ⭐ 36,881
• MCP
• upstash/context7

GistPad MCP is an MCP server designed for managing, organizing, and sharing personal knowledge, daily notes, reusable prompts, and more through GitHub Gists. It integrates with clients like the GistPad VS Code extension and web apps, allowing users to interact with their gists using standardized MCP tools across MCP-enabled AI products. The project features comprehensive gist management, daily notes, collaboration, and prompt creation to streamline knowledge workflows with AI-enabled context. Seamless onboarding is supported via personal access tokens and simple configuration.

• ⭐ 168
• MCP
• lostintangent/gistpad-mcp

User Feedback MCP is a simple Model Context Protocol (MCP) server designed to facilitate human-in-the-loop workflows within tools such as Cline and Cursor. It allows applications, especially desktop software undergoing development, to request and incorporate user feedback before finalizing AI-assisted tasks. The system integrates with existing development pipelines and provides customizable configuration through a .user-feedback.json file and a web-based interface for easy interaction.

• ⭐ 50
• MCP
• mrexodia/user-feedback-mcp

Provides a Model Context Protocol (MCP) tool server that interfaces with OpenAI's GPT-4o/gpt-image-1 APIs to generate and edit images from text prompts. Supports advanced image editing operations including inpainting, outpainting, and compositing with customizable options. Integrates with MCP-compatible clients such as Claude Desktop, VSCode, Cursor, and Windsurf. Offers both base64 and file output for generated images, with automatic file handling for large images.

• ⭐ 70
• MCP
• SureScaleAI/openai-gpt-image-mcp