A Model Context Protocol server for managing prompt templates as markdown files with YAML frontmatter, allowing users and LLMs to easily add, retrieve, and manage prompts.
Provides pre-defined prompt templates for AI assistants to generate comprehensive plans for TypeScript projects, API architectures, and GitHub workflows.
A Model Context Protocol server that provides specialized prompt suggestions for backend development, frontend development, and general tasks to help LLMs generate better content.
A server based on Model Context Protocol that provides predefined prompt templates for tasks like code review and API documentation generation, enabling more efficient workflows in Cursor/Windsurf editors.
Enables creation, management, and templating of prompts through a simplified SOLID architecture, allowing users to organize prompts by category and fill in templates at runtime.
An MCP server that generates images based on text prompts using Black Forest Lab's FLUX model, allowing for customized image dimensions, prompt upsampling, safety settings, and batch generation.
Facilitates access and management of Langfuse prompts through the Model Context Protocol, enabling prompt discovery, retrieval, and integration within clients like Claude Desktop and Cursor.
Enables access to prompt templates managed in MLflow through Claude Desktop, allowing users to instruct Claude with saved templates for repetitive tasks or common workflows.
A template for creating custom tools for Cursor IDE using Model Context Protocol (MCP), allowing developers to extend Cursor's functionality with their own server-based tools.
A server that transforms a standard Language Model into a dynamic multi-agent system where the model simulates both a Conductor (project manager) and Experts (specialized agents) to tackle complex problems through a collaborative workflow.
A lightweight MCP server that provides a unified interface to various LLM providers including OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama.
An MCP server that allows agents to test and compare LLM prompts across OpenAI and Anthropic models, supporting single tests, side-by-side comparisons, and multi-turn conversations.
Transforms simple prompts into detailed, professional specifications using AI, designed to get better results from Claude, ChatGPT, and other AI assistants.
An MCP server that provides tools for interacting with Anthropic's prompt engineering APIs, allowing users to generate, improve, and templatize prompts based on task descriptions and feedback.
An implementation of the Model Context Protocol for the Opik platform that provides a unified interface for accessing Opik's capabilities, supporting multiple transport mechanisms for flexible integration with IDEs and other environments.
Integrates AI safety analysis, red-teaming, and prompt auditing directly into MCP-compatible clients like Claude Desktop and Cursor IDE, allowing real-time analysis of prompts and detection of jailbreak attempts.
An MCP server that allows you to generate and edit images using Amazon Bedrock's Nova Canvas model, supporting features like text-to-image generation, inpainting, outpainting, image variation, and background removal.
A Model Context Protocol (MCP) server that provides AI-powered security analysis and safety instruction tools. This server helps protect AI agents by providing security guidelines, content analysis, and cautionary instructions when interacting with various MCPs and external services.
A Model Context Protocol server that enables AI assistants to generate images, text, and audio through the Pollinations APIs without requiring authentication.
Phoenix MCP Server is an implementation of the Model Context Protocol for the Arize Phoenix platform. It provides a unified interface to Phoenix's capabilites.
You can use Phoenix MCP Server for:
Prompts Management: Create, list, update, and iterate on prompts
Datasets: Explore datasets, and synte
A Model Context Protocol server that enables generation of high-quality images using the Flux.1 Schnell model via Together AI, allowing users to create images from text prompts with customizable dimensions.
A Model Context Protocol server that helps users create, validate, and optimize AI prompts using the RISEN framework (Role, Instructions, Steps, Expectations, Narrowing).