bonnard vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
bonnard by bonnard-data | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 26 | ★ 85,748 |
| 30d uses | — | — |
| Score | 44 | 77 |
| Official | — | ✓ |
| Categories | DatabaseAI / LLM ToolsDeveloper Tools | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 3 mo ago | this month |
bonnard · Summary
Bonnard is an agent-native semantic layer providing MCP server capabilities for reliable data querying through AI agents.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
bonnard · Use cases
- AI agents querying a consistent semantic layer for analytics and reporting
- Building data applications with governed metrics and dimensions
- Embedding structured data capabilities into AI workflows through MCP
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
bonnard · Install
# 1. Scaffold project
npx @bonnard/cli init --self-hosted
# 2. Configure your data source
# Edit .env with your database credentials
# 3. Start the server
docker compose up -d
# 4. Define your semantic layer
# Add cube/view YAML files to bonnard/cubes/ and bonnard/views/
# 5. Deploy models to the server
bon deploy
# 6. Connect AI agents
bon mcpFor Claude Desktop / Cursor:
{
"mcpServers": {
"bonnard": {
"url": "https://bonnard.example.com/mcp",
"headers": {
"Authorization": "Bearer your-secret-token-here"
}
}
}
}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.