A comprehensive data visualization and mapping skill that enables AI agents to generate over 25 types of professional charts and diagrams via the OneKey Gateway.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mcp-server-chart
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install mcp-server-chart using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is MCP Server Chart?
The MCP Server Chart skill is a robust visualization engine designed to empower AI agents with the ability to transform raw data into insightful graphical representations. By integrating this skill, developers can access a wide array of visualization tools—ranging from standard area and bar charts to complex network graphs, fishbone diagrams, and geographical maps—through a single, unified access key. As a key component of the Openclaw Skills ecosystem, it simplifies the process of data storytelling by handling the complex rendering logic via the OneKey Gateway.
This skill is particularly valuable for developers building analytical agents that need to present information in a human-readable format. Whether you are visualizing financial trends with waterfall charts or mapping logistics paths across China, this tool provides the necessary infrastructure to generate high-quality visual assets programmatically.
MCP Server Chart Use Cases
- Creating automated business intelligence reports with line, column, and pie charts.
- Visualizing project hierarchies and organizational structures using mind maps and organization charts.
- Analyzing statistical distributions in research data using boxplots, histograms, and violin charts.
- Mapping geographical distributions and travel routes within China using district and pin maps.
- Monitoring conversion funnels and data flows with sankey and funnel visualizations.
How MCP Server Chart Works
- The AI agent receives structured data and identifies the appropriate chart or diagram type for the visualization task.
- The agent formats the data into the required JSON schema, specifying dimensions, labels, and optional style configurations.
- A request is sent to the OneKey Gateway using the DEEPNLP_ONEKEY_ROUTER_ACCESS credential.
- The gateway processes the data and generates the visual output, applying selected themes like 'dark' or 'academy'.
- The skill returns the rendered visualization or spreadsheet data to the agent for final presentation or storage.
MCP Server Chart Setup
To get started with this skill, first export your OneKey access key to your environment:
export DEEPNLP_ONEKEY_ROUTER_ACCESS=YOUR_API_KEY
Install the OneKey Gateway CLI globally using npm:
npm install -g @aiagenta2z/onekey-gateway
Install the required Python library to enable script-based execution:
pip install ai-agent-marketplace
MCP Server Chart Data Schema & Taxonomy
The skill organizes data based on the specific visualization tool selected. Most tools accept a standardized JSON structure with a data array and a style configuration object.
| Tool Category | Data Requirements | Configuration Keys |
|---|---|---|
| Categorical Charts | Array of objects with category and value |
stack, group, palette |
| Mapping Tools | Chinese administrative names or POI keywords | subdistricts, markerPopup |
| Hierarchical Diagrams | Nested objects with name and children |
depth, orient, texture |
| Relational Graphs | nodes and edges arrays |
source, target, theme |
| Tabular Data | Array of row objects | rows, columns, values |
MCP Server Chart Advanced Features
- Pivot Table Support: Automatically switch between standard table views and complex pivot summaries within the spreadsheet tool.
- Hand-Drawn Aesthetics: Toggle the 'rough' texture style for a hand-drawn look in presentations and brainstorms.
- Regional China Mapping: Deep integration for administrative divisions within China, including province, city, and district-level granularity.
- Multi-Agent Compatibility: Seamlessly integrate with various agent frameworks as part of your Openclaw Skills library.
- Extensive Theming: Unified support for dark, light, and academic themes across all visualization types for consistent branding.
SKILL.md
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