#generative-ai

GPT Image 2 AI is an MCP-compatible service for generating and transforming images using text prompts. It provides a simple interface for AI agents and developer tools to create visual outputs, refine images, and experiment with generative workflows in a programmatic way. The service is designed to be lightweight and easy to integrate into MCP-based environments, enabling use cases such as: text-to-image generation image refinement and variation visual prototyping workflows AI-assisted content pipelines 👉 https://gptimg2ai.net This server can be used by AI agents to generate visual assets dynamically, making it suitable for creative tooling, automation workflows, and experimental AI applications.

Model intelligence for AI agents — syntax, parameters, pricing, and routing for 67+ generative AI models (Midjourney, Flux, Suno, Runway, DALL-E, Stable Diffusion). 7 tools that let any MCP client recommend, compare, optimize, and price AI model calls.

Scaffold is a specialized RAG system that transforms entire codebase into a living knowledge graph, capturing the deep structural relationships between files, classes, and functions. This provides AI agents with the crucial context to accurately understand, maintain, and reason about complex software, moving far beyond simple text retrieval.

The CockroachDB MCP Server is a natural language interface designed for agentic applications to manage, monitor and query data in CockroachDB.

MCP Server using Amazon Q Business Cross App index

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).

A Python-based client for interacting with Model Context Protocol (MCP) servers using Ollama. Features include multi-server support, dynamic model switching, tool management, and a rich terminal interface.

A simple MCP Server in Python for working with Wikipedia topic content in a GenAI context

Implementazione di un server MCP integrabile con Claude Desktop che consente di accedere alle ultime notizie sulla cybersecurity da vari siti web.

This project demonstrates how to build a minimal MCP server using the `mcp` Python SDK and connect it to Claude Desktop as a client. It simulates a simple Travel Desk system with tools to submit, view, and track employee travel requests — all accessible directly from Claude's interface.

This project provides sample MCP servers that can be used with Amazon Q CLI or other MCP-compatible AI assistants

A collection of articles and guides on AI, Generative AI, and Machine Learning, featuring practical examples in Python, TypeScript, and MCP server development.

A modular, extensible Model Context Protocol (MCP) server for NTeALan REST APIs dictionaries and contributions. This project provides a unified interface for managing dictionary data, articles, and user contributions, and is designed for easy integration and extension.

Implementazione di un server MCP integrabile con Claude Desktop che consente di accedere alle ultime notizie sulla cybersecurity da vari siti web.

A security scanner for your LLM agentic workflows

An MCP (Model Context Protocol) Server to use the fal.ai APIs to generate images and videos.

A plugin-based gateway that orchestrates other MCPs and allows developers to build upon it enterprise-grade agents.

A plugin-based gateway that orchestrates other MCPs and allows developers to build upon it enterprise-grade agents.

MCP Server using TypeScript and JavaScript made with official MCP docs handling US Weather data having context for two tools - showing weather forecast and weather alerts for US based location. Used Zod for data validation and architectured two folders - src and build , development (ts) and production (js) respectively.

🤖 Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools, streaming, and multi-agent architectures. Switch seamlessly between providers like OpenAI, Anthropic, AWS Bedrock, and Ollama.

Demo of implementation of MCP using Langchain MCP Adapters and Ollama

DiffuGen is a powerful yet user-friendly interface for local\edge image generation. Built on the Model Control Protocol (MCP), it provides a seamless way to interact with various Stable Diffusion models including Flux, SDXL, SD3, and SD1.5. Diffugen also features an OpenAPI Server for API usage and designed to support OpenWebUI OpenAPI Tool use.

OmniMind: An open-source Python library for effortless MCP (Model Context Protocol) integration, AI Agents, AI workflows, and AI Automations. Plug & Play AI Tools for MCP Servers and Clients, powered by Google Gemini.

Let the grumpy senior dev review your code with this MCP server

SQLGenius is an AI-powered SQL assistant that converts natural language to SQL queries using Vertex AI's Gemini Pro. Built with MCP and Streamlit, it provides an intuitive interface for BigQuery data exploration with real-time visualization and schema management.

Cohere MCP Server

UnrealMCP is here!! Automatic blueprint and scene generation from AI!! An Unreal Engine plugin for LLM/GenAI models & MCP UE5 server. Supports Claude Desktop App, Windsurf & Cursor, also includes OpenAI's GPT4o, DeepseekR1, Claude Sonnet 3.7 APIs and Grok 3, with plans to add Gemini, audio & realtime APIs soon.

📦 Repomix (formerly Repopack) is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.

Easily run glif.app AI workflows inside your LLM: image generators, memes, selfies, and more. Glif supports all major multimedia AI models inside one app

This is a TypeScript-based Model Context Protocol (MCP) server that implements a virtual pet simulation system. It demonstrates core MCP concepts by providing tools for pet care and interaction.

Model Context Protocol (MCP) implementation for Opik enabling seamless IDE integration and unified access to prompts, projects, traces, and metrics.

A Model Context Protocol (MCP) server providing tools to read, search, and manipulate OpenFGA stores programmatically via Large Language Models (LLMs.)

Agentic abstraction layer for building high precision vertical AI agents written in python for Model Context Protocol.

Frontend for MCP (Model Context Protocol) Kit for Go - A Complete MCP solutions for ready to use

An early prototype of a Model Context Protocol (MCP) server implementation integrating the Mineflayer API to interact with Minecraft