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Why this server?
Allows LLM applications to access, manipulate, and track Figma files, components, and variables, making it useful for UI design and full-stack integration.
Why this server?
Integrates Flux's image generation and manipulation into AI coding assistants, enabling seamless text-to-image and image control workflows, which is useful for creating UI assets.
Why this server?
Offers a suite of tools that cover many areas, including workspace tools, which might be helpful for full-stack development organization.
Why this server?
Facilitates interactive software development planning by managing tasks, tracking progress, and creating detailed implementation plans, which supports full-stack project management.
Why this server?
Automatically exposes FastAPI endpoints as MCP tools, allowing LLM systems to interact with your API, useful for backend development.
Why this server?
Generates AI agent tools from Postman collections, making API endpoints accessible to AI for backend integration and testing.
Why this server?
Enables interaction with Jupyter notebooks, supporting code execution and markdown insertion within JupyterLab environments, which can be useful for documenting the development process.
Why this server?
Provides code completion, bug fixing, and test generation for multiple programming languages, useful for full-stack development tasks.
Why this server?
Enables AI assistants to perform Python development tasks through file operations, code analysis, project management, and safe code execution, aiding full-stack development.
Why this server?
Assists with the orchestration of new software projects by applying standardized templates and best practices in design patterns and software architecture which is valuable in structuring new full-stack projects.