mcp-server-chart vs decipher-research-agent

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

	mcp-server-chart by antvis	decipher-research-agent by mtwn105
Stars	★ 4,068	★ 151
30d uses	10,239	—
Score	84	45
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	Web ScrapingAI / LLM ToolsProductivity
Language	TypeScript	TypeScript
Last commit	this month	12 mo ago

mcp-server-chart · Summary

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

decipher-research-agent · Summary

AI-powered research assistant that uses MCP server to create interactive notebooks from web sources.

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

decipher-research-agent · Use cases

Academic researchers analyzing multiple sources for literature reviews
Market researchers conducting competitive intelligence across regions
Journalists investigating topics with geo-restricted information

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"]
    }
  }
}

decipher-research-agent · Install

Installation

Prerequisites

Node.js 20+ and pnpm
Python 3.12+ and uv
PostgreSQL 14+

Quick Start

Clone the repository

git clone https://github.com/mtwn105/decipher-research-agent.git
cd decipher-research-agent

Set up the frontend

cd client
pnpm install
cp .env.example .env.local
# Configure your environment variables
pnpm prisma generate
pnpm prisma migrate dev

Set up the backend

cd ../backend
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv sync
cp .env.example .env
# Configure your environment variables

Start the development servers

# Terminal 1 - Frontend
cd client && pnpm dev

# Terminal 2 - Backend
cd backend && uv run uvicorn server:app --host 0.0.0.0 --port 8001

MCP Configuration

This project uses Bright Data's MCP Server. After getting your API token, configure it in your environment variables.

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