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MCP Echarts logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 7:31:33 PM

MCP Echarts

User RatingsBe the first to rate and review this MCP server!
View Repository266 GitHub StarsTotal stargazers on GitHub for the source repository (266 stars).Visit Website
echartsvisualizationchartsminiocustomer-data-platform

Generate Apache ECharts charts dynamically with AI MCP, supporting export and MinIO storage integration.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "hustcc-mcp-echarts": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-echarts"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives๐Ÿ‘ค More in Customer Data Platforms

Overview

This MCP server generates Apache ECharts charts dynamically using AI, supporting full ECharts syntax including data, style, and themes. It can export charts to PNG, SVG, or ECharts option JSON formats, validating output for correctness. Optionally, it integrates with MinIO or compatible object storage to store chart images and return URLs instead of Base64 data. It runs locally with zero dependencies and supports stdio, SSE, and streamable transports.

Use cases

โ€ขGenerate dynamic visual charts from data using AI
โ€ขExport charts as PNG, SVG, or ECharts option JSON
โ€ขStore and serve chart images via MinIO or S3-compatible storage
โ€ขIntegrate chart generation into desktop AI clients via stdio
โ€ขRun a local MCP server for secure, offline chart rendering

Key features

โ€ขFull support for Apache ECharts syntax and features
โ€ขExport charts to PNG, SVG, or option JSON formats
โ€ขMinIO and S3-compatible object storage integration
โ€ขLightweight with zero external dependencies
โ€ขSupports stdio, SSE, and streamable transport protocols
โ€ขLocal generation without remote service dependencies

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Echarts.

Extracted Tool Capabilities
Full support for Apache ECharts syntax and features
Export charts to PNG, SVG, or option JSON formats
MinIO and S3-compatible object storage integration
Lightweight with zero external dependencies
Supports stdio, SSE, and streamable transport protocols
Local generation without remote service dependencies

Documentation Overview

MCP ECharts build npm Version Listed on Skillselion npm License Trust Score

Generate Apache ECharts with AI MCP dynamically for chart generation and data analysis. Also you can use mcp-server-chart to generate chart, graph, map.

mcp-echarts
award

โœจ Features

  • Fully support all features and syntax of ECharts, include data, style, theme and so on.
  • Support exporting to png, svg, and option formats, with validation for ECharts to facilitate the model's multi-round output of correct syntax and graphics.
  • MinIO Integration, store charts in MinIO object storage and return URLs instead of Base64 data for better performance and sharing capabilities.
  • Lightweight, we can install it easily with zero dependence.
  • Extremely secure, fully generated locally, without relying on any remote services.

๐Ÿค– Usage

Prerequisites

  • Node.js 18 or higher is required.

Desktop Applications (stdio transport)

To use with Desktop APP, such as Claude, VSCode, Cline, Cherry Studio, and so on, add the MCP server config below. On Mac system:

config.json
{
  "mcpServers": {
    "mcp-echarts": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-echarts"
      ]
    }
  }
}

On Window system:

config.json
{
  "mcpServers": {
    "mcp-echarts": {
      "command": "cmd",
      "args": [
        "/c",
        "npx",
        "-y",
        "mcp-echarts"
      ]
    }
  }
}

Also, you can use it on modelscope, glama.ai, skillselion.com or others with HTTP, SSE Protocol.

๐Ÿšฐ Run with SSE or Streamable transport

Install the package globally.

Terminal
npm install -g mcp-echarts

Run the server with your preferred transport option:

bash
# For SSE transport (default endpoint: /sse)
mcp-echarts -t sse

# For Streamable transport with custom endpoint
mcp-echarts -t streamable

Then you can access the server at:

  • SSE transport: http://localhost:3033/sse
  • Streamable transport: http://localhost:3033/mcp

๐ŸŽฎ CLI Options

You can also use the following CLI options when running the MCP server. Command options by run cli with -h.

plain
MCP ECharts CLI

Options:
  --transport, -t  Specify the transport protocol: "stdio", "sse", or "streamable" (default: "stdio")
  --port, -p       Specify the port for SSE or streamable transport (default: 3033)
  --endpoint, -e   Specify the endpoint for the transport:
                    - For SSE: default is "/sse"
                    - For streamable: default is "/mcp"
  --help, -h       Show this help message

๐Ÿ—‚๏ธ MinIO Configuration (Optional)

For better performance and sharing capabilities, you can configure MinIO object storage to store chart images as URLs instead of Base64 data.

[!NOTE] If MinIO is not configured or unavailable, the system automatically falls back to Base64 data output, ensuring compatibility.

We can Integrate with MinIO object storage providers below.

  • MinIO: High-performance, S3-compatible object storage. Use MinIO JavaScript Client for direct integration.
  • Amazon S3: Use AWS SDK with compatible API endpoint.
  • Alibaba Cloud OSS: Use the Alibaba Cloud SDK for OSS services.
  • Google Cloud Storage: Integrate using Google Cloud SDK or compatible API.
  • Microsoft Azure Blob Storage: Use Azure SDK for Blob storage access.
  • Tencent Cloud COS: Use the Tencent Cloud SDK for COS integration.

Also, we can setup MinIO locally for free.

  1. Install and start MinIO locally:

    bash
    # Download MinIO (macOS example)
    brew install minio/stable/minio
    
    # Start MinIO server
    minio server ~/minio-data --console-address :9001
    
  2. Configure environment variables:

    bash
    # Copy the example environment file
    cp .env.example .env
    
    # Edit .env with your MinIO settings
    MINIO_ENDPOINT=localhost
    MINIO_PORT=9000
    MINIO_USE_SSL=false
    MINIO_ACCESS_KEY=minioadmin
    MINIO_SECRET_KEY=minioadmin
    MINIO_BUCKET_NAME=mcp-echarts
    

๐Ÿ”จ Development

Install dependencies:

Terminal
npm install

Build the server:

Terminal
npm run build

Start the MCP server:

Terminal
npm run start

๐Ÿง‘๐Ÿปโ€๐Ÿ’ป Contributors

  • lyw405: Supports 15+ charting MCP tool. #2
  • 2niuhe: Support MCP with SSE and Streaming HTTP. #17
  • susuperli: Use MinIO to save the chart image base64 and return the url. #10
  • BQXBQX: Use @napi-rs/canvas instead node-canvas. #3
  • Meet-student: Add outputType schema for all chart tools. #24
  • hustcc: Initial the repo.

๐Ÿ“„ License

MIT@hustcc.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
266
Stargazers on the source repository.
npm downloads
1.2k
Package downloads in the last 30 days.
Last commit
16d ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about MCP Echarts

Node.js 18 or higher is required.

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Technical Specs & Signals

Category๐Ÿ‘คCustomer Data Platforms
PricingFree
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
AuthNo auth required
LicenseMIT
ClientsClaude Desktop, Cline / VS Code, Windsurf
Last updatedAug 27, 2026
10/10 checks healthy over the last 32d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars266
GitHub Star CountTotal stargazers on GitHub representing community popularity (266 stars).
Last commit16d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 27, 2026
npm downloads1,174/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
52Quality signal: Good ยท 52/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools17/30
Adoption & activity12/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 1

Scanned 27d ago via OSV.dev ยท mcp-echarts (npm)

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