A specialized MCP server providing LLM enhancement prompts and jailbreaks with dynamic schema adaptation, designed to augment AI capabilities via the MCP protocol.

Enables interactive LLM workflows by adding local user prompts and chat functionality directly into the MCP loop, enhancing the interactivity of MCP servers.

A Python-based MCP server for querying OpenAI models directly from Claude or other clients using the Model Context Protocol.

A Model Context Protocol (MCP) server that enhances AI-generated content to sound more natural and human-like, with features like AI detection and text refinement. Highly relevant as an example of an advanced MCP server implementation.

An MCP-compliant server that generates images from text prompts using Replicate's model, demonstrating extensibility and protocol adherence in the MCP server ecosystem.

A Model Context Protocol implementation for managing and serving AI prompts with a TypeScript architecture, showcasing MCP server capabilities for AI prompt management.