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bonnard-cli
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bonnard-cli

Active·★ 49·MIT·Updated 2026-05-14
★ Trending★ Observability★ LLM Infra

Ultra-fast to deploy agentic-first mcp-ready semantic layer. Let your data be like water.

Bonnard is an agent-native semantic layer CLI that enables deploying an MCP server and governed analytics API rapidly. It allows data teams to define metrics and dimensions in YAML, validate locally, and serve them to AI agents, BI tools, and human analysts.

#Semantic Layer#CLI Tool#AI Agents#Data Governance#Metrics Definition#Data Platform#TypeScript#Node.js
$ Install
$ npm install -g @bonnard/cli
↗ Visit site★ GitHub
01

Features

01Agent-native semantic layer with Model Context Protocol (MCP) as a core feature.
02Define metrics and dimensions in YAML, validate locally, and deploy to production.
03Automatically detects and integrates with various data warehouses and data tools.
04Query the semantic layer using JSON or SQL syntax from the terminal.
05Supports CI/CD deployment for non-interactive automation within pipelines.
02

Compatibility

Node.js
Runtime
Verified via docs
TypeScript
Language
Verified via docs
Snowflake
Data Warehouse
Verified via docs
Google BigQuery
Data Warehouse
Verified via docs
Databricks
Data Warehouse
Verified via docs
PostgreSQL
Data Warehouse
Verified via docs
03

Quick start

1
$ npm install -g @bonnard/cli
04

Use cases

↳Deploying a governed analytics API for AI agents to query metrics programmatically.
↳Providing a unified semantic layer for BI tools, data teams, and human analysts.
↳Validating data models and metrics locally before production deployment.
↳Integrating with existing data orchestration, quality, and transformation tools.
↳Automating semantic layer deployments and synchronization within CI/CD pipelines.
05

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Related searches

bonnard-cli AlternativesBest Observability Tools 2026Open Source Observabilitybonnard-cli Tutorialbonnard-cli Vs CompetitorsSemantic LayerCLI ToolAI Agents

Comments

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  • P
    Peyton ZhangMay 14, 2026

    Setup was straightforward, efficient config and running in minutes. Works reliably in production environments.

  • D
    Dylan ZhangMay 9, 2026

    The ultra coverage is surprisingly complete. Good documentation, reduces onboarding time.

  • A
    Aspen GarciaMar 18, 2026

    Handles deploy operations that other servers miss. Works reliably in production environments.

  • M
    Marlowe BrownMar 1, 2026

    Deploy via MCP is exactly the right abstraction — let your data be like water. Works reliably in production environments.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 49
Last commit2w ago
StatusActive
LicenseMIT
CategoryObservability
Trend (30d)
+1.9↑ 0.7%
Links
Documentation↗Discussion↗Issues↗Releases↗

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