Why this server?

Enables AI assistants like Claude to perform Python development tasks through file operations, code analysis, project management, and safe code execution.

Why this server?

Provides tools for accessing coding style guidelines and best practices for various technologies including Java, Python, and React.

Why this server?

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.

Why this server?

A TypeScript-based server that provides a memory system for Large Language Models (LLMs), allowing users to interact with multiple LLM providers while maintaining conversation history and offering tools for managing providers and model configurations.

Why this server?

An MCP tool enabling structured thinking and analysis across multiple AI platforms through branch management, semantic analysis, and cognitive enhancement.

Why this server?

An MCP server that wraps the Riza Code Interpreter API and presents endpoints as individual tools.

Why this server?

The Claude Dev Server enables direct interaction with the file system within a specified workspace, allowing users to perform file and directory operations and implement code artifacts in software development using natural language commands.

Why this server?

Provides curated documentation access via the Gemini API, enabling users to query and interact with technical docs effectively by overcoming context and search limitations.

Why this server?

An MCP server that provides tools and resources for managing a coding project's todo list, allowing users to view, add, update, and delete todo items with details like priority, status, and tags.

Why this server?

Provides LLM Agents with AI-powered mentorship for code review, design critique, writing feedback, and brainstorming using the Deepseek API, enabling enhanced output in various development and strategic planning tasks.