Why this server?
Plotly Dash is primarily used for creating interactive web-based dashboards and plots. This server is highly relevant as it focuses on generating ECharts visualizations, fulfilling a similar core purpose of interactive charting and data presentation.
-securityAlicense-qualityAn MCP (Model Context Protocol) server that enables LLMs to generate ECharts visualizations by accepting chart type, data and parameters and returning cloud image URLs of the generated charts.Last updated 13 days ago565Apache 2.0Why this server?
Similar to ECharts, this server is designed for generating various visual charts using AntV, aligning directly with the 'plotting' and 'dash' (dashboard visualization) aspects of the user's query.

MCP Server Chartofficial
AsecurityAlicense-qualitymcp-server-chartLast updated 2 months ago5266,6863,922TypeScriptMITWhy this server?
This server is explicitly designed for creating data visualizations using Vega-Lite, which is a grammar for interactive graphics. This directly matches the core functionality of Plotly Dash.
AsecurityFlicense-qualityAn MCP server that allows AI models to create data visualizations using Vega-Lite syntax by providing tools to save data tables and generate visualizations from them.Last updated a year ago23Why this server?
This server specifically enables the generation of interactive charts and visualizations using VChart, directly supporting the visual output and dashboarding capabilities associated with Plotly Dash.

vchart-mcp-serverofficial
AsecurityAlicense-qualityA Model Context Protocol (MCP) server for the @visactor/vchart that enables AI assistants to generate interactive charts and visualizations.Last updated 18 days ago102649MITWhy this server?
While focusing on mathematical computations, this server explicitly mentions 'data visualization through Matplotlib'. As Plotly Dash is a Python framework, this server provides tools for a related and commonly used Python plotting library.
AsecurityAlicense-qualityA FastMCP server for mathematical computations, including numerical and symbolic calculations with NumPy and SymPy integration, as well as data visualization through Matplotlib.Last updated 6 months ago1214MITWhy this server?
Plotly Dash is a popular tool for Business Intelligence and data analysis, which often involves creating visualizations. This server is highly relevant as it enables 'visualization creation' within an AI-powered business intelligence context.
-securityFlicense-qualityEnables AI-powered business intelligence and data analysis using pandas and LLM code generation. Supports automated data processing, statistical analysis, and visualization creation through natural language interactions.Last updated 7 months ago15Why this server?
This server facilitates visualizing CSV data, which is a common data source for analytical dashboards built with Plotly Dash. Its ability to visualize data is directly relevant to the user's intent.
-securityFlicense-qualityA FastAPI-based JSON-RPC 2.0 server implementation that enables users to work with HDF5 files, submit Slurm jobs, retrieve CPU information, and visualize CSV data through standardized API endpoints.Last updated a year agoWhy this server?
Plotly Dash is a Python framework. This server provides a safe environment to execute Python code, which would be essential for running or developing any Plotly Dash application.
-securityAlicense-qualityEnables execution of Python code in a safe environment, including running scripts, installing packages, and retrieving variable values. Supports file operations and package management through pip.Last updated 6 months ago8Apache 2.0Why this server?
Plotly Dash applications are web-based. This server enables browser automation, allowing for interaction with web pages, which is crucial for testing or interacting with a deployed Dash application.
AsecurityAlicense-qualityA Model Context Protocol server that enables LLMs to interact with web pages, take screenshots, generate test code, scrape web pages, and execute JavaScript in a real browser environment.Last updated a year ago291021MIT