📈 chartwhisper-mcp

A conversational Model Context Protocol (MCP) platform empowering users to generate Datawrapper, Highcharts, and Plotly visualizations via conversational AI agents. chartwhisper-mcp reimagines chart creation as a natural language experience, facilitating seamless data-to-insight journeys with API integration, flexible deployment, and AI-powered customization.

🚦 Get Started Quickly

Download the latest chartwhisper-mcp release:

🗺️ Table of Contents

• Overview 🚀
• Mermaid System Diagram 🕸️
• Feature List 🌟
• Example Console Invocation 🖥️
• Example Profile Configuration ⚙️
• 🤝 API Integrations: OpenAI & Claude
• 🌍 Multilingual Support
• 🌞 Responsive UI Promise
• OS Compatibility Table 🧑‍💻
• Frequently Asked Questions 🙋
• Technical Disclaimer ⚠️
• 📜 License
• Download Links Again ⬇

🚀 Overview

chartwhisper-mcp invites everyone—journalists, analysts, educators, and innovators—to craft compelling, insight-rich visualizations by “whispering” their intent to their favorite AI assistant. The puzzle of chart creation is solved through Model Context Protocols, seamlessly stitching together AI understanding with charting APIs. Imagine the ease of making expressive data narratives, all through the art of conversation.

chartwhisper-mcp was conceived to:

• Turn data-to-insight into a dialogue: Say what you want, and see it come alive in chart form.
• Bridge AI creativity and visualization tools: Orchestrate charting APIs and AI-generated code responsively.
• Deliver an accessible, multilingual, always-available interface: Available on desktop, server, and even IoT applications.

🕸️ Mermaid Diagram – System Architecture

The following Mermaid diagram illustrates the architecture of chartwhisper-mcp, highlighting the conversational workflow, context-building, AI interaction, and chart-rendering pipeline:

graph TD
    U[User] -->|Natural Language Prompt| AI(Conversational Agent)
    AI --> MCP(MCP Core)
    MCP -->|Context Assembly| API{Select Charting API}
    API -->|Render Data| DW(Datawrapper)
    API -->|Render Data| PL(Plotly)
    API -->|Render Data| HC(Highcharts)
    DW --> UI[Responsive UI]
    PL --> UI
    HC --> UI
    UI --> U
    AI -->|August 2026| PL
    AI -->|Claude Integration| MCP
    MCP -->|OpenAI Integration| AI

🌟 Feature List

• Conversational Chart Creation: Translate your intent into beautiful charts with nothing but words.
• Cross-Platform Integration: Works with Datawrapper, Plotly, and Highcharts APIs.
• Model Context Protocol Engine: Adapts AI agent context for customizations, branding, and multilingual support.
• OpenAI and Claude API Integration: Fuse the power of advanced conversational models for dynamic charting.
• Interactive, Responsive UI: Out-of-the-box dashboards scale beautifully, whether on desktop or mobile.
• 24/7 Customer Support Dashboard: Integrated support portal connects you with real humans and helpful AI bots.
• SEO-Optimized Outputs: All generated charts and embeds are SEO-friendly, ready for publication.
• No-Code & Low-Code Deployment: For power-users and newcomers alike—launch on bare-metal, cloud, or serverless.
• Extensible Profile System: Fine-tune AI persona, context, and visualization parameters.
• Secure, Audit-Ready Operations: SAML/SSO, logging, and AI prompt auditing for team and enterprise deployments.

🖥️ Example Console Invocation

Run your own conversational chart assistant in the terminal:

$ chartwhisper-mcp run --profile myProfile.yaml --input "Line chart of global temperature anomalies, 1880-2023"
[INFO] Selecting Datawrapper API...
[INFO] Context set for OpenAI GPT-4
[INFO] Char

... View full README on GitHub