mcp-server-chart vs CereBro
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | CereBro by rob1997 | |
|---|---|---|
| Stars | ★ 4,068 | ★ 17 |
| 30d uses | 10,239 | — |
| Score | 84 | 34 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsOther |
| Language | TypeScript | C# |
| Last commit | this month | 14 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
CereBro · Summary
A .NET MCP client-server implementation for AI models, currently supporting OpenAI with plans for other models.
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
CereBro · Use cases
- Integrating AI chat capabilities into .NET applications
- Building custom AI tools for Unity games
- Creating model-agnostic AI agents in .NET environments
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"]
}
}
}CereBro · Install
Installation
- Install CereBro via NuGet:
dotnet add package Rob1997.CereBro
dotnet add package Rob1997.CereBro.Open-AI- Create a
servers.jsonfile with MCP server configuration:
[
{
"Id": "everything-server",
"Name": "Everything",
"TransportType": "stdio",
"TransportOptions": {
"command": "npx",
"arguments": "-y @modelcontextprotocol/server-everything"
}
}
]- Add your OpenAI API key to environment variables
- Configure in Program.cs:
var builder = Host.CreateApplicationBuilder(args);
builder.Services.UseOpenAI(Environment.GetEnvironmentVariable("OPEN_AI_API_KEY"), "gpt-4o-mini");
IHost cereBro = builder.BuildCereBro(new CereBroConfig{ ServersFilePath = "./servers.json" });
await cereBro.RunAsync();