Quick Chart MCP
Q

Quick Chart MCP

An MCP service based on the Model Context Protocol specification, providing a standardized interface for interacting with Quick Chart. Supports getting chart image links and local service installation.
2.5 points
10.7K

What is Quick Chart MCP Server?

This is a server based on the Model Context Protocol (MCP) specification, specifically designed to interact with the Quick Chart service. It allows AI agents to create, view, and manage charts through a standardized interface, simplifying the data visualization process.

How to use Quick Chart MCP Server?

You can set up the server using simple installation commands and then use the provided utility functions to interact with Quick Chart. The server supports multiple installation methods, including global installation and local project installation.

Use Cases

Suitable for scenarios that require rapid data visualization, such as data analysis reports, real-time monitoring dashboards, educational demonstrations, etc. It is particularly suitable for the needs of AI agents to automatically generate charts.

Main Features

Get Chart Image Link
Quickly generate a chart by specifying parameters and return the image link. Supports multiple chart types.
Install Quick Chart Locally
Supports installing the Quick Chart service in a local environment for offline use.
Advantages
Standardized interface: Follows the MCP specification and has good compatibility with other AI tools.
Easy installation: Provides multiple installation methods to meet different needs.
Flexible configuration: Supports environment variable configuration for easy deployment.
Limitations
Requires a Node.js environment: May not be very friendly to non-JavaScript developers.
Relatively basic functionality: Currently only supports basic chart generation functions.

How to Use

Install the Server
Choose the installation method that suits you. It is recommended to use npm for global installation.
Configure the Environment
Create a.env file to set the necessary environment variables.
Start the Server
Run the server to prepare to receive requests.

Usage Examples

Generate a Sales Report Chart
Visualize quarterly sales data as a bar chart
Install the Service Locally
Install Quick Chart in an environment without an internet connection

Frequently Asked Questions

What environment do I need to run this server?
How can I configure the appearance style of the chart?
Does it support offline use?

Related Resources

Quick Chart Official Documentation
Official documentation and examples for the Quick Chart project
MCP Protocol Specification
Official specification document for the Model Context Protocol
GitHub Repository
Source code and issue tracking for this project

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
5.0K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
4.5K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
3.9K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.3K
4 points
P
Paperbanana
Python
7.5K
5 points
F
Finlab Ai
FinLab AI is a quantitative financial analysis platform that helps users discover excess returns (alpha) in investment strategies through AI technology. It provides a rich dataset, backtesting framework, and strategy examples, supporting automated installation and integration into mainstream AI programming assistants.
7.0K
4 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
7.2K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.6K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
34.6K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.6K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.5K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
24.7K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
31.5K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
64.8K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.1K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
48.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase