MCP Servers Sfida — 23 giugno 2026

mcp-server-opendal provides a seamless access to multiple storage services including S3, Azure Blob Storage, Google Cloud Storage, and more through Apache OpenDAL. It offers features like listing files and directories from storage services, reading file contents with automatic text/binary detection, and environment variable based configuration. mcp-server-opendal is a Model Context Protocol (MCP) server implementation that provides access to various storage services. The tool connects AI assistants directly to major cloud storage platforms, giving you simple tools to browse folders and open documents with setup handled. It can load configuration from environment variables, .env file, and claude_desktop_config.json. The usage involves adding a configuration to claude_desktop_config.json and using it to access storage services like mys3://path/to/file. It also requires uv to be installed on the machine. It follows Apache-2.0 license. This server can be used to access various storage services in a Model Context Protocol environment.

• Access to multiple storage services
• List files and directories from storage services
• Read file contents with automatic detection
• Environment variable based configuration
• Configuration loading from .env file

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vizro

Vizro is a low-code toolkit for building high-quality data visualization apps.

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Vizro is an open-source Python-based toolkit for building high-quality data visualization apps quickly and easily, without needing advanced engineering or visual design expertise. It allows users to define their app by a simple configuration, using high-level categories such as components, controls, actions, layouts, and navigation. Vizro provides a range of pre-set styles and the option to customize using Python, JavaScript, HTML, and CSS code extensions. It is a flexible and scalable solution that enables rapid prototyping and deployment to production. Vizro is built on top of trusted dependencies such as Plotly, Dash, and Pydantic. Every Vizro app is defined by a simple configuration, using these high-level categories: Components, Controls, Actions, Layouts, and Navigation. This makes it possible to build high-quality, multi-page prototypes that are production-ready in just a few lines of simple low-code configuration. Optional high-code extensions enable almost infinite customization in a modular way. Vizro provides a low-code interface, which enables users to build data visualization apps quickly and easily. The toolkit is designed to be flexible and scalable, allowing users to customize their apps using Python, JavaScript, HTML, and CSS code extensions. In addition to its low-code interface, Vizro also provides a high-code extension that enables users to customize their apps almost infinitely in a modular way. This makes it possible to build complex data visualization apps that are tailored to specific business needs. Vizro is a powerful tool for building data visualization apps, and it offers a range of benefits, including quick and easy app development, beautiful and powerful app design, flexibility, and almost infinite customization options.

• Components: charts, tables, cards, KPI indicators, forms, and more
• Controls: filters and parameters using drop-down menus and sliders
• Actions: interactions between components, drill-throughs, export functionality
• Layouts: grid layouts or flexible containers with pre-set styles
• Navigation: range of app layout and navigation settings
• Customizable using Python, JavaScript, HTML, and CSS code extensions

Pinecone Assistant MCP server is an MCP server implementation for retrieving information from Pinecone Assistant. It retrieves information from Pinecone Assistant and supports multiple results retrieval with a configurable number of results. To use this server, a Docker installation and Pinecone API key are required. The server can be built and run using Docker or built from source without Docker. This project is licensed under the MIT license.

• MCP server implementation
• Supports multiple results retrieval
• Configurable number of results
• Docker-compatible
• Builds from source