mcp-server-chart vs beanquery-mcp

Side-by-side comparison to help you pick between these two MCP servers.

	mcp-server-chart by antvis	beanquery-mcp by vanto
Stars	★ 4,068	★ 46
30d uses	10,239	—
Score	84	36
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	FinanceAI / LLM ToolsDeveloper Tools
Language	TypeScript	Python
Last commit	this month	14 mo ago

mcp-server-chart · Summary

A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.

beanquery-mcp · Summary

Experimental MCP server for AI assistants to query Beancount financial ledgers using BQL.

mcp-server-chart · Use cases

Data analysts creating visual reports from datasets
AI assistants generating custom charts based on user requests
Web applications embedding visualization capabilities via HTTP API

beanquery-mcp · Use cases

AI assistants analyzing personal finance patterns from Beancount ledgers
Automated financial report generation using BQL queries
Integration of financial data with other AI-powered productivity tools

mcp-server-chart · Install

Installation

Install globally:

npm install -g @antv/mcp-server-chart

For Desktop Apps (e.g., Claude Desktop, VSCode):

{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "npx",
      "args": ["-y", "@antv/mcp-server-chart"]
    }
  }
}

For Windows:

{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "@antv/mcp-server-chart"]
    }
  }
}

beanquery-mcp · Install

Installation

Prerequisites

Python 3.10 or later
[uv](https://docs.astral.sh/uv/) for managing Python projects

Running the Server

**Development Mode:**

mcp dev server.py

**Claude Desktop Integration:**

uv run mcp install server.py --with beancount --with beanquery

With environment variable:

uv run mcp install server.py -v BEANCOUNT_LEDGER=/path/to/your/ledger.bean --with beancount --with beanquery

In Claude Desktop configuration:

{
  "mcpServers": {
    "beancount": {
      "command": "uv",
      "args": ["run", "mcp", "install", "server.py"],
      "env": {
        "BEANCOUNT_LEDGER": "/path/to/your/ledger.bean"
      }
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.