Chhart-MCP

Chhart-MCP

MCP for https://chhart.app to easily create flowcharts or sankey diagram

Category
Visit Server

README

Chhart MCP Server

npm version License: MIT Node.js Version

An MCP (Model Context Protocol) server that enables AI assistants like ChatGPT, Claude, and others to programmatically create flowcharts and Sankey diagrams on chhart.app.

Table of Contents

Features

  • šŸŽØ Create Flowcharts - Generate flowcharts using Chhart's intuitive text-based DSL
  • šŸ“Š Create Sankey Diagrams - Build Sankey diagrams from flow data
  • šŸ“š Syntax Help - Get comprehensive documentation and examples
  • šŸ”— Shareable URLs - All diagrams come with shareable chhart.app links
  • šŸš€ Easy Integration - Works with any MCP-compatible AI assistant
  • 🌐 Dual Mode - Run locally (stdio) or remotely (StreamableHTTP)
  • ā˜ļø Cloud Ready - Deploy to Railway, Vercel, or any Node.js hosting
  • šŸ”’ Reliable - Modern StreamableHTTP transport for stable connections

Prerequisites

  • Node.js 20 or higher
  • npm or yarn
  • An MCP-compatible client (Claude Desktop, Cursor, etc.)

Installation

From npm

npm install -g chhart-mcp

Or run directly without installing:

npx chhart-mcp

From Source

# Clone the repository
git clone https://github.com/alwank/chhart_MCP.git
cd chhart_MCP

# Install dependencies
npm install

# Build the project
npm run build

Usage

Quick Start (Public Server)

You can use our managed MCP server without installing anything locally.

Configure your MCP client to connect to the public endpoint:

{
  "mcpServers": {
    "chhart": {
      "url": "https://mcp.chhart.app/mcp"
    }
  }
}

Local Mode (stdio)

For use with Claude Desktop, Cursor, or other local MCP clients:

  1. Build the project:

    npm run build
    
  2. Add to your MCP client configuration:

    For Claude Desktop, edit claude_desktop_config.json:

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

    For Cursor or other clients, see CONFIG_EXAMPLES.md for more examples.

  3. Restart your MCP client

Remote Mode (StreamableHTTP)

For deployment to Railway, Vercel, or other cloud platforms, we use the modern StreamableHTTP transport for reliable, stateless communication.

  1. Build and start the StreamableHTTP server:

    npm run build
    npm run start:streamable
    

    The server will start on port 3000 (or the port specified in PORT environment variable).

  2. Configure your MCP client to connect to the remote endpoint:

    {
      "mcpServers": {
        "chhart": {
          "url": "https://your-deployment-url.com/mcp"
        }
      }
    }
    
  3. Deploy to Railway:

    See the Railway Deployment Guide for detailed instructions.

Why StreamableHTTP?

We migrated from SSE to StreamableHTTP transport for better reliability:

Feature SSE Transport StreamableHTTP Transport
Connection Type Long-lived SSE stream Stateless HTTP requests
Stability Prone to timeouts āœ… Robust and reliable
Cloud Compatibility Limited āœ… Excellent
Session Management Required Optional (stateless)

Legacy SSE Mode

The SSE transport is still available but deprecated:

npm run start:sse  # Not recommended for production

Available Tools

create_flowchart

Creates a flowchart using Chhart's text-based DSL.

Parameters:

  • content (string, required) - Flowchart content in Chhart DSL format
  • title (string, optional) - Title for the flowchart

Example:

{
  "content": "Start\n  Process Step\n    Decision? [shape=diamond]\n      Yes\n        Action\n        End\n      No\n        Skip\n        End",
  "title": "Simple Workflow"
}

create_sankey

Creates a Sankey diagram showing flows between nodes.

Parameters:

  • content (string, required) - Sankey diagram content in Chhart DSL format
  • title (string, optional) - Title for the diagram

Example:

{
  "content": "Revenue [value=100]\n  Costs [value=40]\n    Salaries [value=25]\n    Operations [value=15]\n  Profit [value=60]",
  "title": "Budget Flow"
}

get_syntax_help

Returns documentation and examples for Chhart syntax.

Parameters:

  • type (enum, optional) - 'flowchart', 'sankey', or 'all' (default: 'all')

Example Conversations

Once configured, you can ask your AI assistant:

"Create a flowchart showing a user login process with email verification"

"Create a Sankey diagram showing how $100 of revenue splits into costs, taxes, and profit"

"Show me the syntax for creating flowcharts in Chhart"

Development

# Install dependencies
npm install

# Build
npm run build

# Watch mode (auto-rebuild on changes)
npm run watch

# Run locally (stdio mode)
npm start

# Run StreamableHTTP server (recommended for remote access)
npm run start:streamable

# Run SSE server (legacy, deprecated)
npm run start:sse

Project Structure

chhart_MCP/
ā”œā”€ā”€ src/
│   ā”œā”€ā”€ index.ts              # Main entry point (stdio mode)
│   ā”œā”€ā”€ server-streamable.ts  # StreamableHTTP server (recommended)
│   ā”œā”€ā”€ server-sse.ts         # SSE server (legacy)
│   ā”œā”€ā”€ tools/                # MCP tool implementations
│   ā”œā”€ā”€ utils/                # Utility functions
│   └── transports/           # Transport implementations
│       ā”œā”€ā”€ streamable.ts     # StreamableHTTP transport
│       └── sse.ts            # SSE transport (legacy)
ā”œā”€ā”€ dist/                     # Compiled JavaScript (generated)
└── docs/                     # Documentation files

How It Works

The MCP server generates shareable URLs by encoding chart data into the URL hash, leveraging chhart.app's existing URL-based sharing feature. This means:

  • āœ… No backend API required
  • āœ… Charts are fully client-side
  • āœ… URLs work immediately without storage
  • āœ… Charts can be edited on chhart.app
  • āœ… Privacy-friendly (data stays in the URL)

Troubleshooting

"Command not found" or "Module not found"

  • Ensure you've run npm install and npm run build
  • Verify the path in your MCP client configuration is absolute
  • Check that Node.js 20+ is installed: node --version

Connection Issues

"connection closed: EOF" or similar errors:

  • If using remote mode, ensure you're using StreamableHTTP transport (npm run start:streamable)
  • The legacy SSE transport is deprecated and may have stability issues
  • Verify the server is running: check the health endpoint at http://localhost:3000/health
  • Check firewall settings if deploying remotely
  • Ensure CORS is properly configured for your domain

Client configuration:

  • StreamableHTTP clients use application/json requests to /mcp
  • Legacy SSE clients require text/event-stream for the /mcp stream and JSON for /messages
  • Ensure the URL points to the /mcp endpoint

Charts Not Loading

  • Verify the generated URL is complete and not truncated
  • Check browser console for errors
  • Try opening the URL directly in a browser
  • Very large diagrams may exceed URL length limits (typically 2000 characters)

TypeScript Build Errors

  • Ensure you're using Node.js 20+
  • Delete node_modules and dist, then run npm install and npm run build
  • Check for TypeScript version compatibility

For more help, see CONTRIBUTING.md or open an issue.

Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines on:

  • Reporting bugs
  • Suggesting features
  • Submitting pull requests
  • Development setup
  • Coding standards

Security

For security concerns, please see our Security Policy. Do not open public issues for security vulnerabilities.

License

MIT License - see LICENSE for details.

Copyright (c) 2026 Chhart.app

Links

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured