MCP Catalogs
Home

bonnard vs time

Side-by-side comparison to help you pick between these two MCP servers.

bonnard
by bonnard-data
time
by modelcontextprotocol
Stars★ 26★ 85,748
30d uses
Score4477
Official
Categories
DatabaseAI / LLM ToolsDeveloper Tools
ProductivityDeveloper ToolsCommunication
LanguageTypeScriptTypeScript
Last commit3 mo agothis month

bonnard · Summary

Bonnard is an agent-native semantic layer providing MCP server capabilities for reliable data querying through AI agents.

time · Summary

A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.

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

time · Use cases

  • Assisting with international meeting scheduling across time zones
  • Providing real-time time information for location-based queries
  • Enabling time conversion for travel planning and itineraries

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 mcp

For Claude Desktop / Cursor:

{
  "mcpServers": {
    "bonnard": {
      "url": "https://bonnard.example.com/mcp",
      "headers": {
        "Authorization": "Bearer your-secret-token-here"
      }
    }
  }
}

time · Install

Installation Options

**Using uv (recommended):**

uvx mcp-server-time

**Using PIP:**

pip install mcp-server-time
python -m mcp_server_time

**Configure for Claude Desktop:**

{
  "mcpServers": {
    "time": {
      "command": "uvx",
      "args": ["mcp-server-time"]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.