mcp-server-chart vs samyama-graph
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | samyama-graph by samyama-ai | |
|---|---|---|
| Stars | ★ 4,068 | ★ 62 |
| 30d uses | 10,239 | — |
| Score | 84 | 48 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | DatabaseKnowledge GraphAI / LLM Tools |
| Language | TypeScript | Rust |
| 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.
samyama-graph · Summary
High-performance graph-vector database with MCP server support for natural language queries over knowledge graphs.
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
samyama-graph · Use cases
- Biomedical research by querying interconnected medical literature, clinical trials, and drug interactions
- Enterprise knowledge graphs with automatic MCP server generation for AI agents
- Large-scale graph analytics with parallel algorithms for social networks or fraud detection
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"]
}
}
}samyama-graph · Install
# Install Samyama
git clone https://github.com/samyama-ai/samyama-graph && cd samyama-graph
cargo build --release
./target/release/samyama # Starts RESP on :6379 and HTTP on :8080
# Install the MCP server
pip install samyama[mcp]
# Start an MCP server with demo data
samyama-mcp-serve --demo cricketFor Claude Desktop integration:
{
"mcpServers": {
"samyama": {
"command": "python",
"args": ["-m", "samyama.mcp"],
"env": {}
}
}
}