Why this server?
This server enables AI assistants to create and edit PowerPoint presentations with features for adding various slide types, tables, charts, and AI-generated images through Stable Diffusion.
Why this server?
Enables AI assistants to interact with Metabase databases and dashboards, allowing users to list and execute queries, access data visualizations, and interact with database resources through natural language.
Why this server?
A Model Context Protocol enabling AI clients to interact with PowerBI Models by querying metadata through PBIXRay python package.
Why this server?
An MCP server for generating customizable data visualizations using QuickChart.io, supporting multiple chart types and Chart.js configuration.
Why this server?
Implements a math agent using Model Control Protocol that performs mathematical calculations and visually presents results in Keynote, enabling drawing shapes and adding text to slides.
Why this server?
A Python-based server that collects, analyzes, and visualizes forest fire occurrence data on maps, allowing users to access regional fire information, risk analysis, and map visualizations.
Why this server?
Generates comprehensive and formatted release notes from GitHub repositories, efficiently organizing commits by type and including detailed statistics using smart API usage.
Why this server?
Converts addresses to GPS coordinates and creates map visualizations using the Geoapify API, allowing Claude users to generate GeoJSON data and map images from location lists.
Why this server?
Provides aviation weather information through a Model Context Protocol server, enabling access to METARs, TAFs, PIREPs, and route weather information with a focus on aviation-related data.