mcp-server-chart vs search_docs_mcp
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | search_docs_mcp by mostafa-ghaith | |
|---|---|---|
| Stars | ★ 4,068 | ★ 1 |
| 30d uses | 10,239 | — |
| Score | 84 | 28 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsSearch |
| Language | TypeScript | Python |
| Last commit | this month | 13 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
search_docs_mcp · Summary
MCP server for semantic search across AI library documentation using Serper API
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
search_docs_mcp · Use cases
- Search for the latest API documentation in supported AI libraries
- Keep AI agents up-to-date with recent library features and changes
- Quickly find specific implementation details from official docs
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"]
}
}
}search_docs_mcp · Install
# Clone the repository
git clone https://github.com/mostafa-ghaith/search-docs-mcp.git
cd search-docs-mcp
# Create and activate virtual environment
python -m venv .venv
source .venv/bin/activate
# Install dependencies
pip install -e .
# Create .env file with API key
echo "SERPER_API_KEY=your_api_key_here" > .envFor Claude Desktop, add this to your config:
{
"mcpServers": {
"search-docs-mcp": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/YOUR/search-docs-mcp",
"run",
"main.py"
]
}
}
}