Blender MCP Server

The Fonoster MCP Server is a utility server that integrates Fonoster's open-source telephony platform with AI assistants through the Model Context Protocol (MCP). This server enables AI models to interact with Fonoster's programmable voice applications, facilitating seamless management of telephony services. Key features include:​ - List Numbers: Retrieves a list of phone numbers associated with the Fonoster account, displaying details such as references, names, and telephone URLs. - List Applications: Provides a list of voice applications configured within Fonoster, allowing for efficient management and deployment of telephony applications. Designed for local operation, the server ensures data privacy and security. It is actively maintained as part of the Fonoster open-source project.

The Cursor Talk to Figma MCP Server is a utility server that integrates the Cursor AI coding assistant with Figma through the Model Context Protocol (MCP). This integration enables AI models to access and modify Figma design files programmatically, facilitating seamless design-to-code workflows. Key features include:​ - Document and Selection Retrieval: Fetches information about the current Figma document and user selections, providing context for AI-driven code generation. - Element Creation: Supports the creation of design elements such as rectangles, frames, and text nodes within Figma, allowing AI assistants to build or modify designs programmatically. - Text Content Modification: Enables scanning and updating of text nodes, facilitating bulk text content replacement and updates. - Styling Adjustments: Allows setting of fill colors, stroke colors, and corner radii for design elements, providing control over the visual styling of components. - Layout and Organization: Supports moving, resizing, deleting, and cloning of nodes, aiding in the organization and structuring of design elements. - Annotations: Facilitates the creation and management of annotations within Figma files, enhancing collaboration and documentation. - Component and Style Management: Provides access to local and team components, as well as styles, enabling consistent design implementations. - Export Capabilities: Allows exporting of nodes as images in various formats, supporting the generation of assets from designs. - Code Execution: Supports execution of arbitrary JavaScript code within Figma, enabling advanced customizations and operations. Designed for local operation, the server requires Bun for execution and is actively maintained as an open-source project.

K8M offers a streamlined interface for managing Kubernetes clusters, incorporating AI functionalities such as: - AI-Driven Insights: Utilizes integrated LLMs for tasks like resource explanation, YAML translation, and log analysis. - MCP Integration: Provides visual management of MCP tools, with 49 built-in tools enabling over 100 cluster operations. It can function as an MCP server for other LLM applications. - Multi-Cluster Management: Supports automatic detection and management of multiple clusters using kubeconfig. - Pod Management: Facilitates file operations within pods, real-time log viewing, and shell command execution. - CRD and Helm Support: Automatically discovers and manages Custom Resource Definitions (CRDs) and integrates with Helm for application deployment. These features make K8M a comprehensive tool for efficient and intelligent Kubernetes cluster management.