mcp-server-chart vs vectorize-mcp-server
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | vectorize-mcp-server by vectorize-io | |
|---|---|---|
| Stars | ★ 4,068 | ★ 106 |
| 30d uses | 10,239 | — |
| Score | 84 | 47 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsKnowledge GraphOther |
| Language | TypeScript | JavaScript |
| Last commit | this month | this month |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
vectorize-mcp-server · Summary
Vectorize MCP server enables vector search, text extraction, and deep research through the Model Context Protocol.
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
vectorize-mcp-server · Use cases
- Retrieving relevant documents based on semantic search queries
- Converting PDFs and other documents to structured Markdown format
- Performing deep research with web search integration
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"]
}
}
}vectorize-mcp-server · Install
Installation
Running with npx
export VECTORIZE_ORG_ID=YOUR_ORG_ID
export VECTORIZE_TOKEN=YOUR_TOKEN
export VECTORIZE_PIPELINE_ID=YOUR_PIPELINE_ID
npx -y @vectorize-io/vectorize-mcp-server@latestClaude Desktop Configuration
Add to your claude_desktop_config.json:
{
"mcpServers": {
"vectorize": {
"command": "npx",
"args": ["-y", "@vectorize-io/vectorize-mcp-server@latest"],
"env": {
"VECTORIZE_ORG_ID": "your-org-id",
"VECTORIZE_TOKEN": "your-token",
"VECTORIZE_PIPELINE_ID": "your-pipeline-id"
}
}
}
}