What features does Datawrapper MCP server provide?

Q: What features does Datawrapper MCP server provide?

Create Datawrapper charts from prompts: Accepts user-provided data and chart type to create a new Datawrapper chart via the MCP server.. Publish charts and obtain public URL: Publishes the created chart and returns its public URL for sharing.. Update chart data: Allows updating the chart data and basic configuration through chat.. Update chart styling: Supports styling changes like line color (e.g., setting to dodger blue).. Editor URL retrieval: Returns the Datawrapper editor URL to view/edit the chart.. PNG embedding: Embeds a PNG image of the chart in responses.. Input validation with Pydantic: Employs Pydantic to validate incoming requests before interacting with Datawrapper.. Token-based authentication and Datawrapper library: Uses Datawrapper API tokens from environment variables and relies on the Datawrapper Python library for API calls.

Datawrapper MCP Server 2025: Features & Setup Guide

Overview

This MCP server integrates with the Datawrapper Python library to let AI assistants manage Datawrapper charts entirely through conversation. It uses Pydantic validation to ensure inputs are well-formed and interacts with the Datawrapper API using a token-based authentication (DATAWRAPPER_ACCESS_TOKEN). Typical flow: create a chart from user-provided data and chart type, publish it to obtain a public URL, update data or styling (for example, changing the line color), retrieve the chart editor URL for manual editing, and embed the resulting PNG image in responses. The server is designed for flexible deployment: it can be run via uvx with a configuration file, installed via pip, or containerized for Kubernetes. The README provides deployment instructions and environment variables, including DATAWRAPPER_ACCESS_TOKEN, MCP_SERVER_HOST, MCP_SERVER_PORT, and MCP_SERVER_NAME. A built-in /healthz endpoint supports Kubernetes health checks, and sample configuration snippets are provided for common deployment methods.

Features

Create Datawrapper charts from prompts

Accepts user-provided data and chart type to create a new Datawrapper chart via the MCP server.

Publish charts and obtain public URL

Publishes the created chart and returns its public URL for sharing.

Update chart data

Allows updating the chart data and basic configuration through chat.

Update chart styling

Supports styling changes like line color (e.g., setting to dodger blue).

Editor URL retrieval

Returns the Datawrapper editor URL to view/edit the chart.

PNG embedding

Embeds a PNG image of the chart in responses.

Input validation with Pydantic

Employs Pydantic to validate incoming requests before interacting with Datawrapper.

Token-based authentication and Datawrapper library

Uses Datawrapper API tokens from environment variables and relies on the Datawrapper Python library for API calls.