CanvasXpress MCP

v1.0.0Data Science & MLstable

Converts natural language descriptions into validated CanvasXpress JSON configurations for chart generation using RAG and a built-in visualization knowledge base. It supports over 70 chart types and ensures generated configs are compatible with provi

canvasxpress-mcp-servermcpai-integration
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What is CanvasXpress MCP?

CanvasXpress MCP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to converts natural language descriptions into validated canvasxpress json configurations for chart generation using rag and a built-in visualization knowledge base. it supports over 70 chart types and e...

Converts natural language descriptions into validated CanvasXpress JSON configurations for chart generation using RAG and a built-in visualization knowledge base. It supports over 70 chart types and ensures generated configs are compatible with provi

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Converts natural language descriptions into validated Canvas

Use Cases

Generate validated CanvasXpress JSON configurations from natural language descriptions.
Create 70+ chart types using RAG-powered visualization knowledge base.
neuhausi

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx canvasxpress-mcp-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about CanvasXpress MCP

What is CanvasXpress MCP?

CanvasXpress MCP is a Model Context Protocol (MCP) server that converts natural language descriptions into validated canvasxpress json configurations for chart generation using rag and a built-in visualization knowledge base. it supports over 70 chart types and ensures generated configs are compatible with provi It connects AI assistants to external tools and data sources through a standardized interface.

How do I install CanvasXpress MCP?

Follow the installation instructions on the CanvasXpress MCP GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with CanvasXpress MCP?

CanvasXpress MCP works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is CanvasXpress MCP free to use?

Yes, CanvasXpress MCP is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "canvasxpress-mcp-server": { "command": "npx", "args": ["-y", "canvasxpress-mcp-server"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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