Visualize mathematical equations by plotting them on customizable charts using the Fermat MCP server. Input equations, set axis ranges, adjust plot styles, and generate detailed graphs for analysis.
Generate scatter plots to visualize relationships between numerical datasets. Customize labels, colors, markers, and layout for clear data representation using Matplotlib integration on Fermat MCP.
Visualize data as line, scatter, or bar charts using provided X and Y values. Customize labels, titles, colors, and grid settings for clear, actionable insights.
Generate stacked area or bar charts by plotting provided x and y data. Customize titles, labels, colors, grid, and legend for clear data visualization in Fermat MCP.
A server that allows AI agents to interact with the Tally API to access DAO governance data, proposals, and metadata using Model Context Protocol (MCP), built with TypeScript and GraphQL.
Enables AI assistants to perform structured, step-by-step reasoning by breaking down complex problems into numbered thoughts, with support for revising previous steps and exploring alternative reasoning paths.