Datawrapper
by palewirecommunityv0.2.3
33
10
This MCP server allows users to create Datawrapper charts using AI assistants by providing data and requesting specific chart types and configurations.
From the registry: A Model Context Protocol (MCP) server and app for creating Datawrapper charts using AI assistants
Install & configure
Prerequisites
- required
- requiredCreate API tokenGenerate an API token from the Datawrapper account settings.https://app.datawrapper.de/account/api-tokens
- requiredPython 3.10+Python 3.10 or higher is required.
Install in your client
Paste into the AI you're chatting with — it will figure out the rest
Please install the `datawrapper-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Datawrapper account** — Sign up for a Datawrapper account. (https://datawrapper.de/signup/)
- **Create API token** — Generate an API token from the Datawrapper account settings. (https://app.datawrapper.de/account/api-tokens)
- **Python 3.10+** — Python 3.10 or higher is required.
Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["datawrapper-mcp"]
- required environment variables:
- `DATAWRAPPER_ACCESS_TOKEN`: Datawrapper API token (example: `<your_datawrapper_token>`)
Note: Also supports streamable-http transport with Authorization: Bearer header for hosted deployments.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Note: Also supports streamable-http transport with Authorization: Bearer header for hosted deployments.
Tools (8)
list_chart_types
List available chart types with descriptions
get_chart_schema
Get the full configuration schema for a chart type
create_chart
Create a new chart with data and configuration
update_chart
Update an existing chart's data or styling
publish_chart
Publish a chart to make it publicly accessible
get_chart
Retrieve a chart's configuration and metadata
delete_chart
Permanently delete a chart
export_chart_png
Export a chart as a PNG image
Environment variables
DATAWRAPPER_ACCESS_TOKENrequiredYour Datawrapper API token for authenticationPrerequisites
- • Python 3.10
Packages
datawrapper-mcp
pypiv0.2.3transport: stdio
Details
- Language
- Python
- License
- MIT
- Released
- Mar 27, 2026
- Last commit
- Apr 1, 2026
- Registry name
- io.github.palewire/datawrapper-mcp