mcp-server-chart vs AgentChat

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

	mcp-server-chart by antvis	AgentChat by Shy2593666979
Stars	★ 4,068	★ 715
30d uses	10,239	—
Score	84	52
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	AI / LLM ToolsDeveloper ToolsProductivity
Language	TypeScript	Python
Last commit	this month	1 mo ago

mcp-server-chart · Summary

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

AgentChat · Summary

AgentChat is an LLM-based intelligent agent communication platform with MCP protocol support for dynamic tool calling and knowledge retrieval.

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

AgentChat · Use cases

Enterprise knowledge management with RAG-enabled AI agents
Multi-agent task automation and workflow orchestration
Custom tool integration via OpenAPI-based MCP server generation

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"]
    }
  }
}

AgentChat · Install

AgentChat MCP Server Installation

Docker Deployment

# 1. Clone the repository
git clone https://github.com/Shy2593666979/AgentChat.git
cd AgentChat

# 2. Edit configuration file
vim docker/docker_config.yaml

# 3. Start the service
cd docker
docker-compose up --build -d

Local Development

# Backend setup
cd src/backend
pip install -r requirements.txt
uv sync  # Recommended

# Frontend setup
cd src/frontend
npm install
npm run dev

Claude Desktop Configuration

Add to your Claude Desktop config.json:

{
  "mcpServers": {
    "agentchat": {
      "command": "python",
      "args": ["path/to/agentchat/mcp_server.py"]
    }
  }
}

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