Provides image understanding capabilities to coding models without vision support by automatically invoking a vision model and returning text descriptions, enabling seamless context-aware coding with images.
One MCP server for music, image, video, and audio generation across Suno, Grok Imagine, Seedance, Kling, Hailuo, Wan, VEO, Ideogram, and GPT Image 2. Generate, edit, upscale, reframe, and master through one API key and one credit pool.
MCP server that enables Claude to control Altair AI Studio for data mining and machine learning tasks, including data import, cleaning, transformation, model training, clustering, association rules, and executing saved processes.
A local MCP server for generating and editing images using OpenAI-compatible APIs. It provides text-to-image generation and image editing capabilities with configurable endpoints and saves output directly to local files.
Real-time AI-assisted music production, advanced composition, mixing, and VST coordination for FL Studio via bidirectional MIDI & WebSockets, exposing over 100 tools for comprehensive DAW control.
Exposes Google AI Studio models (Gemini, Imagen, Veo) as MCP tools for text generation, image generation, and video generation, integrating with code editors and LLM clients.
An MCP server that lets Claude Code delegate coding tasks such as code generation, review, refactoring, and test writing to a local Ollama instance running a Qwen3 model.
Connects Kimi Code with Claude Code, enabling Claude to delegate bulk codebase reading to Kimi (256K context) for cost savings, while Claude focuses on reasoning and code edits.
An MCP server that recommends UI components and utility methods from private code repositories using AI to enhance code reuse and development efficiency.
Enables interaction with Microsoft Copilot Studio Agents through the Direct Line 3.0 API, allowing users to start conversations, send messages, retrieve history, and end conversations directly from their code editor.
Open-source AI code review MCP server for local git diff auditing with deterministic security rules and AI-powered analysis using any OpenAI-compatible model.
Exposes structured code generation tools via MCP protocol, enabling users to generate production-grade Python functions, refactor buggy code, and create multi-function modules using local or cloud-based OpenAI-compatible APIs.
Enables comprehensive code reviews using multiple AI models (O3, Gemini, Claude Opus) and consolidates results with GPT-4, focusing on bugs, security, performance, and best practices.
An MCP server for automatic code review using OpenRouter, enabling performance, clean code, SOLID, async, error handling, and security analysis with direct file modification.