Metadata-Version: 2.4
Name: datawrapper-mcp
Version: 0.0.9
Summary: A Model Context Protocol (MCP) server for creating Datawrapper charts using AI assistants
Author-email: Ben Welsh <b@palewi.re>
License: MIT
Project-URL: Maintainer, https://github.com/palewire/
Project-URL: Source, https://github.com/palewire/datawrapper-mcp/
Project-URL: Issues, https://github.com/palewire/datawrapper-mcp/issues/
Keywords: datawrapper,mcp,model-context-protocol,charts,visualization,ai
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Typing :: Typed
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: datawrapper>=2.0.7
Requires-Dist: exceptiongroup; python_version < "3.11"
Requires-Dist: mcp[cli]>=1.20.0
Requires-Dist: pandas>=2.0.0
Requires-Dist: typing_extensions>=4.0.0; python_version < "3.11"
Provides-Extra: dev
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: setuptools-scm; extra == "dev"
Provides-Extra: test
Requires-Dist: pytest>=7.0.0; extra == "test"
Requires-Dist: pytest-asyncio>=0.21.0; extra == "test"
Requires-Dist: pytest-runner; extra == "test"
Requires-Dist: pytest-cov; extra == "test"
Requires-Dist: pytest-env; extra == "test"
Requires-Dist: pytest-vcr; extra == "test"
Requires-Dist: pytest-xdist; extra == "test"
Provides-Extra: mypy
Requires-Dist: mypy; extra == "mypy"
Requires-Dist: pandas-stubs; extra == "mypy"
Requires-Dist: types-requests; extra == "mypy"
Dynamic: license-file

A Model Context Protocol (MCP) server that enables AI assistants to create Datawrapper charts. Built on the [datawrapper Python library](https://github.com/chekos/datawrapper) with Pydantic validation.

## Example Usage

Here's a complete example showing how to create, publish, update, and display a chart by chatting with the assistant:

```
"Create a datawrapper line chart showing temperature trends with this data:
2020, 15.5
2021, 16.0
2022, 16.5
2023, 17.0"
# The assistant creates the chart and returns the chart ID, e.g., "abc123"

"Publish it."
# The assistant publishes it and returns the public URL

"Update chart with new data for 2024: 17.2°C"
# The assistant updates the chart with the new data point

"Make the line color dodger blue."
# The assistant updates the chart configuration to set the line color

"Show me the editor URL."
# The assistant returns the Datawrapper editor URL where you can view/edit the chart

"Show me the PNG."
# The assistant embeds the PNG image of the chart in its contained response.

"Suggest five ways to improve the chart."
# See what happens!
```

## Getting Started

### Get Your API Token

1. Go to https://app.datawrapper.de/account/api-tokens
2. Create a new API token
3. Add it to your MCP configuration as shown above

### Installation

#### Using uvx (Recommended)

Configure your MCP client to run the server with `uvx` in `claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "datawrapper": {
      "command": "uvx",
      "args": ["datawrapper-mcp"],
      "env": {
        "DATAWRAPPER_ACCESS_TOKEN": "your-token-here"
      }
    }
  }
}
```

#### Using pip

```bash
pip install datawrapper-mcp
```

Then configure your MCP client:

```json
{
  "mcpServers": {
    "datawrapper": {
      "command": "datawrapper-mcp",
      "env": {
        "DATAWRAPPER_ACCESS_TOKEN": "your-token-here"
      }
    }
  }
}
```

### Kubernetes Deployment

For enterprise deployments, this server can be deployed to Kubernetes using HTTP transport:

#### Building the Docker Image

```bash
docker build -t datawrapper-mcp:latest .
```

#### Running with Docker

```bash
docker run -p 8501:8501 \
  -e DATAWRAPPER_ACCESS_TOKEN=your-token-here \
  -e MCP_SERVER_HOST=0.0.0.0 \
  -e MCP_SERVER_PORT=8501 \
  datawrapper-mcp:latest
```

#### Environment Variables

- `DATAWRAPPER_ACCESS_TOKEN`: Your Datawrapper API token (required)
- `MCP_SERVER_HOST`: Server host (default: `0.0.0.0`)
- `MCP_SERVER_PORT`: Server port (default: `8501`)
- `MCP_SERVER_NAME`: Server name (default: `datawrapper-mcp`)

#### Health Check Endpoint

The HTTP server includes a `/healthz` endpoint for Kubernetes liveness and readiness probes:

```bash
curl http://localhost:8501/healthz
# Returns: {"status": "healthy", "service": "datawrapper-mcp"}
```

#### Kubernetes Configuration Example

```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: datawrapper-mcp
spec:
  replicas: 1
  selector:
    matchLabels:
      app: datawrapper-mcp
  template:
    metadata:
      labels:
        app: datawrapper-mcp
    spec:
      containers:
      - name: datawrapper-mcp
        image: datawrapper-mcp:latest
        ports:
        - containerPort: 8501
        env:
        - name: DATAWRAPPER_ACCESS_TOKEN
          valueFrom:
            secretKeyRef:
              name: datawrapper-secrets
              key: access-token
        livenessProbe:
          httpGet:
            path: /healthz
            port: 8501
          initialDelaySeconds: 5
          periodSeconds: 30
        readinessProbe:
          httpGet:
            path: /healthz
            port: 8501
          initialDelaySeconds: 5
          periodSeconds: 10
---
apiVersion: v1
kind: Service
metadata:
  name: datawrapper-mcp
spec:
  selector:
    app: datawrapper-mcp
  ports:
  - protocol: TCP
    port: 8501
    targetPort: 8501
```
