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

Magg is a server that implements the Model Context Protocol (MCP), acting as a central aggregator and proxy for multiple MCP servers. It enables Large Language Models (LLMs) to dynamically discover, add, configure, and manage external tools at runtime. By aggregating tools from different MCP servers under unified namespaces, it streamlines capability management and introduces features such as configuration persistence, authentication, and real-time notifications. Magg offers both command-line and Docker deployment, with support for HTTP, stdio, and in-memory transport.

• ⭐ 62
• MCP
• sitbon/magg

MindsDB enables seamless connection to and unification of data from hundreds of enterprise sources, allowing for highly accurate responses across large-scale federated systems. It provides an open-source server with built-in support for the Model Context Protocol (MCP) to facilitate standardized interaction with AI-driven question answering over diverse data sets. The platform offers tools for preparing, organizing, and transforming both structured and unstructured data via knowledge bases, views, and scheduled jobs. Its agent framework and SQL interface empower users to configure data-centric agents, automate workflows, and interact with data conversationally.

• ⭐ 35,487
• MCP
• mindsdb/mindsdb

Anyquery is a SQL query engine that enables users to run SQL queries on a wide array of data sources, including files, databases, and popular applications via plugins. It supports integrations with large language models (LLMs) through the Model Context Protocol (MCP), providing seamless access for AI models to query data. Built on SQLite, it extends functionality with a plugin system and can also function as a MySQL server for compatibility with conventional SQL clients. Its flexible installation options and broad plugin ecosystem allow extensive customization and integration.

• ⭐ 1,298
• MCP
• julien040/anyquery

mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

• ⭐ 17
• MCP
• glenngillen/mcpmcp-server

Imagen3-MCP is an image generation tool leveraging Google's Imagen 3.0 model and exposes its functionality via the Model Control Protocol (MCP). It requires a valid Google Gemini API key and can be easily deployed as a standalone executable. The tool supports flexible configuration with various environment variables and integrates with platforms like Cherry Studio and Cursor for seamless image generation tasks. Example prompts and outputs are provided to showcase its photorealistic image creation capabilities.

• ⭐ 43
• MCP
• hamflx/imagen3-mcp

1MCP Agent provides a single, unified interface that aggregates multiple Model Context Protocol (MCP) servers, enabling seamless integration and management of external tools for AI assistants. It acts as a proxy, managing server configuration, authentication, health monitoring, and dynamic server control with features like asynchronous loading, tag-based filtering, and advanced security options. Compatible with popular AI development environments, it simplifies setup by reducing redundant server instances and resource usage. Users can configure, monitor, and scale model tool integrations across various AI clients through easy CLI commands or Docker deployment.

• ⭐ 96
• MCP
• 1mcp-app/agent

YepCode MCP Server acts as a Model Context Protocol (MCP) server that facilitates seamless communication between AI platforms and YepCode’s workflow automation infrastructure. It allows AI assistants and clients to execute code, manage environment variables, and interact with storage through standardized tools. The server can expose YepCode processes directly as MCP tools and supports both hosted and local installations via NPX or Docker. Enterprise-grade security and real-time interaction make it suitable for integrating advanced automation into AI-powered environments.

• ⭐ 31
• MCP
• yepcode/mcp-server-js