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licenseB
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maintenanceEnables AI agents to generate chart visualizations by interacting with QuickChart API, allowing users to create and retrieve chart image links through natural language requests.
Last updated
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Apache 2.0
Viz MCP Server
by ceeyang-ai
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Viz MCP Servercreate a bar chart of monthly revenue"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Viz MCP Server 📊
A Model Context Protocol (MCP) server for data visualization — generate bar charts, line charts, pie charts, scatter plots, and histograms. Returns SVG (inline) or PNG (file).
Built for AI agents. Works with Hermes Agent, Claude Code, Cursor, and any MCP-compatible client.
✨ Features
Tool | Description |
| Bar chart (vertical/horizontal) with value labels |
| Line chart with area fill, markers, trend |
| Pie/donut chart with percentage labels |
| Scatter plot with optional regression line |
| Histogram with mean line, optional cumulative |
All tools support:
4 color palettes:
default,vibrant,pastel,monochromeSVG output (inline for MCP response) or PNG output (saved to file)
Custom titles, axis labels
Clean matplotlib styling (no chartjunk)
Related MCP server: UNHCR Chart Generation MCP Server
🚀 Quick Start
# Install from GitHub
pip install git+https://github.com/ceeyang-ai/viz-mcp-server.git
# Run as MCP server
viz-mcp-server🔌 Usage with Hermes Agent
Add to ~/.hermes/config.yaml:
mcp_servers:
viz:
command: "viz-mcp-server"Restart Hermes → tools available as mcp_viz_create_bar_chart, etc.
📖 Examples
Bar Chart
# Via MCP tool call
result = create_bar_chart(
values=[10, 25, 15, 30, 20],
labels=["Q1", "Q2", "Q3", "Q4", "Q5"],
title="Quarterly Revenue",
ylabel="Revenue ($K)",
palette="vibrant"
)Scatter with Trend Line
result = create_scatter_plot(
x_values=[1, 2, 3, 4, 5, 6, 7, 8],
y_values=[2, 3, 5, 7, 11, 13, 17, 19],
title="Growth Analysis",
regression_line=True
)Histogram
result = create_histogram(
values=[12, 15, 13, 20, 19, 18, 14, 16, 22, 25, 21, 17],
bins=8,
title="Score Distribution",
xlabel="Score"
)🛠 Requirements
Python 3.10+
matplotlib ≥ 3.7
numpy ≥ 1.24
mcp ≥ 1.0
👨💻 Development
git clone https://github.com/ceeyang-ai/viz-mcp-server.git
cd viz-mcp-server
pip install -e .
viz-mcp-server # Start MCP server📄 License
MIT
Maintenance
–Maintainers
–Response time
–Release cycle
1Releases (12mo)
Commit activity
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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