"How to create pie and line charts with MCP" matching MCP servers:

An MCP server that turns chart requests into permanent, hosted Image-Charts URLs, enabling agents to generate charts that render anywhere without client-side libraries.

A modern Python MCP server for rendering customizable charts (line, bar, pie, scatter, area, combined dashboards) with Plotly, supporting export to PNG, SVG, and base64, and terminal charts with ANSI output.

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

Scaffold and audit Starter Series projects — MCP server, Claude Code skill, and CLI in one package.

MCP server that integrates the LINE Messaging API to enable AI agents to send messages and manage LINE Official Accounts.

A Model Context Protocol server that generates lightweight ASCII charts directly in terminal environments, supporting line charts, bar charts, scatter plots, histograms, and sparklines without GUI dependencies.

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

Provides advanced charting widgets (uPlot time series, ECharts box plots and parallel coordinates) for Urano Desktop/Cloud via MCP tools that build uiSpec JSON for rendering.

A CLI tool that sets up a Model Control Protocol server and deploys it to Cloudflare Workers, allowing you to quickly create custom tools for your Cursor Agent just by writing TypeScript functions.

An MCP server that enables AI assistants to programmatically create and manage flowcharts, ERDs, and swimlane diagrams. It provides tools for manipulating diagram structures, performing auto-layouts, and exporting to Mermaid or Markdown formats.

A FastMCP server backed by Postgres that demonstrates MCP tools, resources, and prompts, with a focus on session affinity and load balancing via HAProxy.

Reads local LINE chat history from your own computer and summarizes daily conversations through Claude Code, extracting decryption keys from LINE's memory on Windows.

An MCP server that enables AI agents to query RevenueCat's subscription analytics API using natural language, retrieving metrics like MRR, churn, and revenue.

MCP server for generating images using Gemini, supporting multiple aspect ratios and both AI Studio and Vertex AI backends.

Enables RF and microwave engineers — or any MCP client — to convert impedances, analyze transmission lines and ladder circuits, synthesize L/Pi/T/stub/quarter-wave matching networks, and evaluate transistor S-parameters, stability, gain and noise circles. It also renders publication-quality Smith charts and returns human-readable summaries in English or Turkish over stdio or Streamable HTTP.

An MCP server that generates and edits images using OpenAI's GPT Image model, allowing users to create images from text descriptions and edit existing images through natural language.

Enables MCP-capable agents to profile datasets and render CSV/TSV/TXT/JSON data into standalone interactive ECharts HTML charts fully offline, returning the HTML artifact plus rendering statistics in the same response.

An MCP server that gives AI agents access to RevenueCat's Charts & Metrics API. Query MRR, churn, trial conversion, revenue, and 17 more subscription metrics directly from Claude, Cursor, or any MCP client.

An MCP server that converts Markdown files containing Mermaid diagrams into PDF documents by rendering diagrams as SVG images. It provides a specialized tool to automate document conversion while ensuring all visual charts are correctly embedded in the final output.

A dynamic service that creates and manages Model Context Protocol (MCP) servers, allowing users to spawn, customize, and control multiple MCP servers as child processes.