Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
MCP server for ECharts chart generation
MCP ECharts exposes Apache ECharts as an MCP server for agents. It lets them build charts from data, validate ECharts options, and export results as PNG, SVG, or raw option JSON. When MinIO is configured, it can store chart images and return URLs instead of base64.

Builders who want their agent to create ECharts charts from data and return shareable outputs.
You can ask your agent for charts and get valid ECharts output without hand-writing chart config.
What it does
ECharts chart generation
Generates Apache ECharts options with support for data, style, and theme settings.
Multiple export formats
Returns chart output as `png`, `svg`, or `option`.
Option validation
Validates ECharts options so agents can fix syntax across multiple rounds.
MinIO storage support
Stores chart images in MinIO-compatible object storage and returns URLs instead of base64.
Local-first execution
Runs locally without remote services.
MCP transports
Supports stdio, SSE, and streamable HTTP transport.
How to get it
- 1Install the package globally.
npm install -g mcp-echarts
- 2Run the server with your preferred transport option
# For SSE transport (default endpoint: /sse) mcp-echarts -t sse # For Streamable transport with custom endpoint mcp-echarts -t streamable
- 3Install and start MinIO locally
# Download MinIO (macOS example) brew install minio/stable/minio # Start MinIO server minio server ~/minio-data --console-address :9001
- 4Install dependencies
npm install
- 5Build the server
npm run build
- 6Start the MCP server
npm run start
README
MCP ECharts

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.
โจ Features
- Fully support all features and syntax of
ECharts, include data, style, theme and so on. - Support exporting to
png,svg, andoptionformats, with validation forEChartsto facilitate the model's multi-round output of correct syntax and graphics. - MinIO Integration, store charts in
MinIOobject 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.
๐ค 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:
{
"mcpServers": {
"mcp-echarts": {
"command": "npx",
"args": [
"-y",
"mcp-echarts"
]
}
}
}
On Window system:
{
"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.
๐ฐ Run with SSE or Streamable transport
Install the package globally.
npm install -g mcp-echarts
Run the server with your preferred transport option:
# 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
๐ฎ CLI Options
You can also use the following CLI options when running the MCP server. Command options by run cli with -h.
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
๐๏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
Base64data 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.
-
Install and start MinIO locally:
# Download MinIO (macOS example) brew install minio/stable/minio # Start MinIO server minio server ~/minio-data --console-address :9001 -
Configure environment variables:
# 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
๐จ Development
Install dependencies:
npm install
Build the server:
npm run build
Start the MCP server:
npm run start
๐ง๐ปโ๐ป Contributors
- lyw405: Supports
15+charting MCP tool. #2 - 2niuhe: Support MCP with SSE and Streaming HTTP. #17
- susuperli: Use
MinIOto save the chart image base64 and return the url. #10 - BQXBQX: Use
@napi-rs/canvasinstead node-canvas. #3 - Meet-student: Add
outputTypeschema for all chart tools. #24 - hustcc: Initial the repo.
๐ License
MIT@hustcc.
Files in the repo
- __tests__
- .github
- .husky
- fonts
- src
- .env.example
- .gitignore
- .prettierrc
- biome.json
- Dockerfile
- glama.json
- LICENSE
- package.json
- README.md
- smithery.yaml
- tsconfig.json
- tsconfig.test.json
Discussion (0)
Ask about usage, or say what you built with itSign in to join the discussion.
No comments yet. Be the first to say what this is good for.
More connectors
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph โ average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

Universal provider proxy for OpenAI Codex & Claude Code โ use any LLM (Claude, Gemini, Grok, DeepSeek, Ollamaโฆ) with Codex CLI, App, SDK, and Claude Code
Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300ยตs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
Stop your AI from making things up โ it proposes, deterministic tools decide, every claim checked against ground truth with evidence. Grounded facts and context survive resets. Reverse engineering is the proving ground. MCP server + CLI.