mcp-server-chart vs peta-core
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | peta-core by dunialabs | |
|---|---|---|
| Stars | ★ 4,068 | ★ 47 |
| 30d uses | 10,239 | — |
| Score | 84 | 47 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | Ops & InfraSecurityDeveloper Tools |
| Language | TypeScript | TypeScript |
| 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.
peta-core · Summary
Production-ready MCP control plane with security, policy enforcement, and audit 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
peta-core · Use cases
- Enterprise deployment of MCP servers with centralized policy enforcement and audit controls
- Organizations requiring secure management of API credentials and OAuth tokens
- Teams building internal AI tool catalogs with progressive disclosure and discovery profiles
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"]
}
}
}peta-core · Install
Installation
Peta Core can be deployed using Docker or as a Node.js application.
Docker Deployment
docker run -d --name peta-core -p 8080:8080 \
-e DATABASE_URL=postgresql://user:pass@localhost:5432/peta \
-e NEXTAUTH_SECRET=your-secret-key \
petaio/peta-core:latestNode.js Deployment
npm install -g @peta/core
peta-core startConfiguration
Configure MCP clients to connect to Peta Core:
{
"mcpServers": {
"peta": {
"command": "npx",
"args": ["@modelcontextprotocol/server-peta", "--host", "localhost", "--port", "8080"]
}
}
}