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qualityA Model Context Protocol server that enables AI assistants like Claude to perform Python development tasks through file operations, code analysis, project management, and safe code execution.
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Why this server?
Enables AI assistants 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?
Enables interaction with Jupyter notebooks through the Model Context Protocol, supporting code execution and markdown insertion within JupyterLab environments.
Why this server?
A utility toolkit that enhances Claude's code interaction capabilities by providing seamless tools for Java code analysis, manipulation, and testing workflows.
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 Model Context Protocol tool for analyzing code repositories, performing security scans, and assessing code quality across multiple programming languages.
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?
A Model Context Protocol server that enables management of GitLab Kanban boards through tools for listing, creating, updating, and deleting tasks, as well as adding comments.
Why this server?
An MCP server that wraps the Riza Code Interpreter API and presents endpoints as individual tools.
Why this server?
A TypeScript-based MCP server that enables LLM agents to interact with Gel databases through natural language, providing tools to learn database schemas, validate and execute EdgeQL queries.