"Image Generation" matching MCP servers:

The AIGC solution based on the MCP protocol seamlessly transforms the ComfyUI workflow into an MCP Tool with zero code, enabling LLMS and ComfyUI to join forces and focus on image generation tasks. qwen-image, flux, and FLUx-KREA can be used for image generation.

An MCP server that enables AI applications to access 20+ model providers (including OpenAI, Anthropic, Google) through a unified interface for text and image generation.

Connects 3D Slicer with AI assistants through the Model Context Protocol, enabling medical image processing and scene manipulation using natural language.

MCP server to communicate local Pharo Smalltalk image

An MCP server that provides tools for frontend development, including i18n issue detection, OpenAPI type generation, and project structure analysis.

Enables AI agents to procedurally model and sculpt 3D voxel characters, weapons, and scenery, execute custom QuickJS generation scripts, convert/export models between voxel and 3D/image formats, and open results in the desktop GUI for inspection or editing.

A TypeScript-based MCP server that generates API clients from OpenAPI specifications, allowing automated code generation through natural language.

AI code generation service for KPC component library that solves hallucination problems by providing accurate component APIs, validation rules, and usage examples.

Enables AI-driven frontend component design and code generation from natural language requirements. Supports Vue, React, and Angular with intelligent component decomposition, API design, and complete project generation.

A comprehensive Model Context Protocol server that provides advanced Node.js development tooling for automating project creation, component generation, package management, and documentation with AI-powered assistance.

A powerful MCP server that provides interactive user feedback and command execution capabilities for AI-assisted development, featuring a graphical interface with text and image support.

A Model Context Protocol server that helps large language models process code repositories by providing file tree generation, code merging, and code analysis capabilities.

A Python MCP server that allows programmatic interaction with YggTorrent, enabling torrent search, details retrieval, and magnet link generation without exposing your Ygg passkey.

Enables text generation using the Qwen Max language model with configurable parameters and seamless integration with Claude Desktop via the Model Context Protocol (MCP).

A server that integrates Flux's advanced image generation and manipulation features into AI coding assistants, enabling seamless text-to-image and image control workflows in IDEs like Cursor and Windsurf.

An MCP server that supercharges AI assistants with powerful tools for software development, enabling research, planning, code generation, and project scaffolding through natural language interaction.

A Model Context Protocol server that provides tools for code modification and generation via Large Language Models, allowing users to create, modify, rewrite, and delete files using structured XML instructions.

Plays sound effects when Cursor AI completes code generation, providing audio feedback for a more interactive coding experience.

A FastMCP server implementation that facilitates resource-based access to AI model inference, focusing on image generation through the Replicate API, with features like real-time updates, webhook integration, and secure API key management.

Exposes cookiecutter templates through MCP, enabling discovery, registration, management, and project generation from templates.

A Model Context Protocol server that automates code generation for web development, specializing in creating TypeScript API clients from Swagger/OpenAPI specs and Vue.js components for frontend development.

Enables seamless integration between MCP-compatible clients (like LM Studio) and Google Gemini API for image generation and multimodal tasks. Provides a hybrid local-cloud workflow combining local LM Studio execution with Gemini's cloud-powered image generation capabilities.

Provides tools for frontend testing including code analysis, test generation, test execution, and React component testing for Jest and Cypress frameworks.

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.

Turns any LLM into a coding co-pilot with production-ready MCP server providing lint, test, execution, generation, and graph tools. Features Neo4j persistence, OpenAI Agent integration, REST API, and React frontend for comprehensive code development assistance.

Enables coding agents to discover registered data sources, receive only policy-approved text or image views, and run sandboxed local probes on withheld records so work can continue without exposing protected data.

Disposable Firecracker microVMs as sandboxes for AI agents: run commands and move files in any OCI image, snapshot and fork running copies in ~150 ms, egress allowlists. Self-hosted; needs Linux with KVM.

Fronts every MCP server you have with two tools: search shortlists relevant tools, and execute runs sandboxed Python that calls upstream tools as mcp..(). It enables agents to make bulk, repeated, or conditional tool calls using calibrated decision-model choices instead of per-item LLM generation.

MCP server wrapping OpenAI Codex SDK to run Codex agents for code generation, debugging, and more, authenticating via ChatGPT OAuth.

Enables AI assistants to generate Autodesk Fusion 360 Python scripts through natural language commands, using the Model Context Protocol (MCP) for tool calls and script generation.