MCP Servers tagged "Generative Ai"

📦 Repomix 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.

Examples and tutorials for building AI applications with watsonx.ai Flows Engine

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

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

Run any AWS Lambda function as a Large Language Model (LLM) tool without code changes using Anthropic's Model Context Protocol (MCP).

MCP sever for controlling Elektron devices using LLMs

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

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

OmniMCP uses Microsoft OmniParser and Model Context Protocol (MCP) to provide AI models with rich UI context and powerful interaction capabilities.

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

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.

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.