mcp-server-chart vs mcp-server-qdrant

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

	mcp-server-chart by antvis	mcp-server-qdrant by qdrant
Stars	★ 4,068	★ 1,397
30d uses	10,239	—
Score	84	55
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	DatabaseAI / LLM ToolsDeveloper Tools
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.

mcp-server-qdrant · Summary

Official Qdrant MCP server for semantic memory storage and retrieval using vector embeddings.

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

mcp-server-qdrant · Use cases

Building AI applications with long-term memory capabilities
Code search and retrieval for development environments
Enhancing LLM applications with vector-based semantic search

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"]
    }
  }
}

mcp-server-qdrant · Install

Installation Options

Using uvx

QDRANT_URL="http://localhost:6333" \
COLLECTION_NAME="my-collection" \
EMBEDDING_MODEL="sentence-transformers/all-MiniLM-L6-v2" \
uvx mcp-server-qdrant

Using Docker

docker build -t mcp-server-qdrant .
docker run -p 8000:8000 \
  -e FASTMCP_SERVER_HOST="0.0.0.0" \
  -e QDRANT_URL="http://your-qdrant-server:6333" \
  -e QDRANT_API_KEY="your-api-key" \
  -e COLLECTION_NAME="your-collection" \
  mcp-server-qdrant

Claude Desktop Configuration

Add to claude_desktop_config.json:

{
  "qdrant": {
    "command": "uvx",
    "args": ["mcp-server-qdrant"],
    "env": {
      "QDRANT_URL": "https://xyz-example.eu-central.aws.cloud.qdrant.io:6333",
      "QDRANT_API_KEY": "your_api_key",
      "COLLECTION_NAME": "your-collection-name",
      "EMBEDDING_MODEL": "sentence-transformers/all-MiniLM-L6-v2"
    }
  }
}

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