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Bonnard CLI

v1.0.0•Data Science & ML•stable

Open-source agentic schema CLI. Optimised for claude code, gemini, codex and co-pilot. Skills included.

agenticagentic-analyticsagentic-schemaai-analyticsbigquery
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What is Bonnard CLI?

Bonnard CLI is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to open-source agentic schema cli. optimised for claude code, gemini, codex and co-pilot. skills included.

Open-source agentic schema CLI. Optimised for claude code, gemini, codex and co-pilot. Skills included.

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Open-source agentic schema CLI. Optimised for claude code, g

Use Cases

Agentic analytics and schema management
BigQuery and dbt integration
bonnard-data

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedMay 22, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux
View SourceBrowse All Servers

Installation

Manual Installation

npx bonnard-cli

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Bonnard CLI

Bonnard CLI is an open-source agentic analytics platform that connects AI coding assistants to data warehouses through a governed MCP server interface. It supports BigQuery, Snowflake, Databricks, PostgreSQL, Redshift, and DuckDB — plus orchestration integrations with dbt, Dagster, Prefect, and Airflow — enabling agents to query data, build dashboards, and manage schema definitions through natural language. Data engineers and analytics teams use it to give Claude Code, Gemini, and Codex governed, production-safe access to their analytics layer.

Prerequisites

  • Node.js 20+ installed
  • npm for global installation
  • A supported data warehouse account (BigQuery, Snowflake, Databricks, PostgreSQL, Redshift, or DuckDB)
  • An MCP client such as Claude Desktop or Claude Code
1

Install the Bonnard CLI globally

Install the CLI tool globally via npm so the 'bon' command is available system-wide.

npm install -g @bonnard/cli
2

Initialize a new Bonnard project

Create a new project scaffold in your current directory. This generates the configuration files needed for connecting data sources and defining analytics models.

bon init
3

Connect a data source

Add your data warehouse as a data source. Run the interactive command and select your warehouse type. A demo mode is available if you don't have a warehouse ready.

bon datasource add
# Or for demo mode without a real warehouse:
bon datasource add --demo
4

Authenticate and deploy

Log in to your Bonnard account and deploy your project. Deployment makes your schema and query definitions available via the MCP server.

bon login
bon validate
bon deploy -m "initial deploy"
5

Start the MCP server

Launch the Bonnard MCP server locally. This exposes your deployed analytics layer as MCP tools that AI agents can call.

bon mcp
6

Configure your MCP client

Add the Bonnard MCP server to your client configuration. The 'bon mcp' command starts the server over stdio.

{
  "mcpServers": {
    "bonnard": {
      "command": "bon",
      "args": ["mcp"]
    }
  }
}

Bonnard CLI Examples

Client configuration

Claude Desktop configuration entry for the Bonnard MCP server.

{
  "mcpServers": {
    "bonnard": {
      "command": "bon",
      "args": ["mcp"]
    }
  }
}

Prompts to try

Example prompts for querying data warehouses and managing analytics through Bonnard.

- "Query the users table and show me signups by week for the last 3 months"
- "What dbt models are available in this project?"
- "Run the revenue_by_product query and create a bar chart of the results"
- "List all available data sources connected to this project"
- "Show me the schema for the orders table in BigQuery"

Troubleshooting Bonnard CLI

'bon' command not found after installation

Ensure npm's global bin directory is on your PATH. Run 'npm bin -g' to find the location and add it to your shell profile (e.g. ~/.zshrc or ~/.bashrc). Then run 'source ~/.zshrc' and try again.

Data source connection fails during 'bon datasource add'

Verify your warehouse credentials and network access. For BigQuery, ensure your service account JSON key file is valid and has the necessary permissions. Use 'bon datasource add --demo' to test the setup flow without real credentials.

MCP server starts but AI returns no data

Ensure you have run 'bon deploy' after adding data sources and validating your project. The MCP server serves the deployed version — local changes are not visible until deployed.

Frequently Asked Questions about Bonnard CLI

What is Bonnard CLI?

Bonnard CLI is a Model Context Protocol (MCP) server that open-source agentic schema cli. optimised for claude code, gemini, codex and co-pilot. skills included. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Bonnard CLI?

Follow the installation instructions on the Bonnard CLI GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Bonnard CLI?

Bonnard CLI works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Bonnard CLI free to use?

Yes, Bonnard CLI is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "bonnard-cli": { "command": "npx", "args": ["-y", "bonnard-cli"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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