mcp-server-chart vs clintrials-mcp
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | clintrials-mcp by plainyogurt21 | |
|---|---|---|
| Stars | ★ 4,068 | ★ 0 |
| 30d uses | 10,239 | — |
| Score | 84 | 33 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolshealthDeveloper Tools |
| Language | TypeScript | Python |
| Last commit | this month | 7 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
clintrials-mcp · Summary
MCP server providing structured access to ClinicalTrials.gov data with search, retrieval, and analysis capabilities.
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
clintrials-mcp · Use cases
- Medical researchers can quickly find relevant clinical trials by condition, intervention, or sponsor
- Healthcare professionals can retrieve detailed trial information including eligibility criteria and results
- Data analysts can examine statistical distributions of trial phases and other parameters across studies
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"]
}
}
}clintrials-mcp · Install
Installation
- Install dependencies:
pip install -r requirements.txt- Run the MCP server:
python mcp_server.pyClaude Desktop Configuration
Add to claude_desktop_config.json:
{
"mcpServers": {
"clintrials": {
"command": "python",
"args": ["mcp_server.py"]
}
}
}Alternative Deployments
The server can be deployed to AWS Lambda, Railway, Render, or run locally with Cloudflare Tunnel.