vizro-mcp

Enables seamless creation and live preview of consistent, validated Vizro dashboards and charts using Model Context Protocol with support for local or remote datasets and integration with MCP-enabled LLM applications.

Open-source MCP framework offering unified APIs and SDKs for seamless integration of AI models across languages, enabling rapid development of production-ready multimodal applications with advanced features like structured outputs, tool calling, and comprehensive monitoring.

Analyzes Python codebases using AST to extract and vectorize code elements, enabling advanced querying, semantic search, visualization, and natural language Q&A via a Model Context Protocol (MCP) server integrated with LLM-powered embeddings and background refinement.

Collect, analyze, and visualize wildfire occurrence data by region with advanced risk assessment and interactive map features using a Python-based Model Context Protocol (MCP) server.

Provides advanced email processing with Outlook integration, leveraging MongoDB and SQLite for storage, Ollama-generated embeddings for semantic search, multi-mailbox support, and scalable features like email summarization and categorization using LLMs under the Model Context Protocol framework.