filesystem vs CereBro
Side-by-side comparison to help you pick between these two MCP servers.
filesystem by modelcontextprotocol | CereBro by rob1997 | |
|---|---|---|
| Stars | ★ 85,748 | ★ 17 |
| 30d uses | — | — |
| Score | 77 | 34 |
| Official | ✓ | — |
| Categories | File SystemDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsOther |
| Language | TypeScript | C# |
| Last commit | this month | 14 mo ago |
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
CereBro · Summary
A .NET MCP client-server implementation for AI models, currently supporting OpenAI with plans for other models.
filesystem · Use cases
- Enable AI models to read and write project files during development
- Allow Claude or other MCP clients to browse and analyze codebases
- Provide secure sandboxed access to specific directories for content generation
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
filesystem · Install
Installation
Using NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/allowed/directory"
]
}
}
}Using Docker
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
"mcp/filesystem",
"/projects"
]
}
}
}VS Code Extension
Click the installation buttons in the README to install directly in VS Code.
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();