# bonnard

> Use this tool when you need to unify data governance and querying across multiple warehouses, such as Snowflake, BigQuery, and PostgreSQL. It allows you to define metrics in YAML and query governed data via MCP, solving problems of data fragmentation and inconsistent metric definitions. With bonnard, you can input YAML metrics and output unified, governed data from various warehouses.

Canonical page: https://skillsregistry.net/skills/bonnard-data-bonnard  
JSON: https://api.skillsregistry.net/v1/skills/bonnard-data-bonnard

## Description

Open-source agentic schema layer. Define metrics once in YAML, query governed data from any warehouse (Snowflake, BigQuery, Databricks, PostgreSQL, DuckDB) via MCP.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/we9xqmvtdj)
- **Repository:** <https://github.com/bonnard-data/bonnard>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "bonnard-data-bonnard"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bonnard-data-bonnard` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bonnard-data-bonnard/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt