mcp-server-chart vs deep-research-mcp
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | deep-research-mcp by pinkpixel-dev | |
|---|---|---|
| Stars | ★ 4,068 | ★ 27 |
| 30d uses | 10,239 | — |
| Score | 84 | 44 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsSearchProductivity |
| Language | TypeScript | JavaScript |
| Last commit | this month | 2 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
deep-research-mcp · Summary
A research-focused MCP server using Tavily APIs to gather and structure web information for LLM documentation generation.
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
deep-research-mcp · Use cases
- Comprehensive topic research for creating detailed technical documentation
- Automated report generation with structured web content analysis
- Background information gathering for AI agents performing complex tasks
mcp-server-chart · Install
Installation
Install globally:
npm install -g @antv/mcp-server-chartFor 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"]
}
}
}deep-research-mcp · Install
Installation
**Via Smithery (Recommended for Claude Desktop)**
npx -y @smithery/cli install @pinkpixel/dev-deep-research-mcp --client claude**Using NPX**
npx @pinkpixel/deep-research-mcp**Global Installation**
npm install -g @pinkpixel/deep-research-mcp
deep-research-mcp**Claude Desktop Configuration**
{
"mcpServers": {
"deep-research": {
"command": "npx",
"args": [
"-y",
"@pinkpixel/deep-research-mcp"
],
"env": {
"TAVILY_API_KEY": "tvly-YOUR_API_KEY"
}
}
}
}