MCPs tagged with # data visualization

Data Visualization MCP Server enables large language models to visualize data through a standardized interface using Vega-Lite specifications. The server provides tools for saving data tables and generating visualizations as text or PNG images. Integration with platforms like Claude Desktop allows seamless addition of data visualization capabilities to LLM workflows.

• ⭐ 92
• MCP
• isaacwasserman/mcp-vegalite-server

Crypto Portfolio MCP is an MCP server that enables users and AI agents to track, manage, and optimize cryptocurrency portfolio allocations with live Binance price integration. It allows querying of portfolio status, addition of holdings, price fetching, value history chart generation, and portfolio analysis suggestions. The server provides persistent storage using SQLite and exposes API-like tools for seamless interaction through an MCP client. Designed for integration with platforms like Claude Desktop, it facilitates dynamic crypto asset management and insight generation.

• ⭐ 9
• MCP
• kukapay/crypto-portfolio-mcp

MCP Server for Data Exploration enables users to interactively explore and analyze complex datasets using prompt templates and tools within the Model Context Protocol ecosystem. Designed as a personal Data Scientist assistant, it facilitates the conversion of raw data into actionable insights without manual intervention. Users can load CSV datasets, run Python scripts, and generate tailored reports and visualizations through an AI-powered interface. The server integrates directly with Claude Desktop, supporting rapid setup and seamless usage for both macOS and Windows.

• ⭐ 503
• MCP
• reading-plus-ai/mcp-server-data-exploration

Zaturn enables AI models to interact with multiple data sources and generate analytics without requiring users to write SQL or Python code. It supports SQL databases and file formats, providing visual and tabular summaries and offering an interactive web interface similar to Jupyter Notebook. Zaturn can function both as a standalone platform or as a Model Context Protocol (MCP) compliant tool, allowing seamless context management for AI-driven data analysis.

• ⭐ 66
• MCP
• kdqed/zaturn

MCP ECharts enables dynamic generation of Apache ECharts visualizations through the Model Context Protocol, supporting interactions with AI models. It provides multiple transport options (stdio, SSE, streamable) and integrates with platforms like Claude, VSCode, and Smithery. The tool allows exporting charts in PNG, SVG, and option formats, with optional MinIO storage for enhanced sharing and performance. Featuring zero dependencies and local secure rendering, it is easily deployable and versatile for a range of visualization workflows.

• ⭐ 153
• MCP
• hustcc/mcp-echarts

MCP Server Chart enables chart generation and data analysis through the Model Context Protocol. Built with TypeScript and leveraging AntV, it offers over 25 types of charts accessible via MCP tools. The server supports seamless integration with visualization platforms like Dify and provides features such as private deployment, configurable toolsets, and CLI options.

• ⭐ 3,141
• MCP
• antvis/mcp-server-chart