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dbt Charts

Ask a question, get a board. dbt Charts is an open, dbt-native language for dashboards: the query, charts, and layout of a board in one YAML file, versioned in Git, validated in CI, rendered by the open-source `dct` CLI, and hosted on dbtCharts.com.

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-25T23:34:12.601Z. Cached copy · Source on dbtcharts.com

# dbt Charts

> Ask a question, get a board. dbt Charts is an open, dbt-native language for dashboards: the query, charts, and layout of a board in one YAML file, versioned in Git, validated in CI, rendered by the open-source `dct` CLI, and hosted on dbtCharts.com.

An agent that has never used dbt Charts starts here, in a shell:

    uv tool install dbt-charts && dct skills chart

The same hand-off as a single file, for an agent that would rather read than run:
[/agents.md](https://dbtcharts.com/agents.md).

`dct skills chart` teaches the board and chart grammar and the build-render-fix loop. The reference lives in the same CLI (`dct examples`, `dct skills`) and on the docs site below.

## Docs

- [Documentation index](https://docs.dbtcharts.com/llms.txt): the docs site's own llms.txt, with every reference page
- [Quick guide](https://docs.dbtcharts.com/quick-guide/): install, `dct init`, the board syntax, render, and serve
- [CLI and MCP for AI assistants](https://docs.dbtcharts.com/cli/ai-cli-and-mcp/): the `dct` CLI versus the MCP server, and how skills reach each
- [Cloud getting started](https://docs.dbtcharts.com/cloud/getting-started/): publish a repository's boards to dbtCharts.com

## Product

- [The language](https://dbtcharts.com/language/): dashboards you can code review, built up from a four-line chart
- [BI unbundled](https://dbtcharts.com/platform/): dbtCharts.com, the hosted platform: conversational analytics, a UI, and hosting with access control
- [dbt Charts in Claude and ChatGPT](https://dbtcharts.com/platform/mcp/): the hosted connector for Claude and ChatGPT, plus the Claude Code plugin
- [VS Code extension](https://dbtcharts.com/platform/vs-code/): live board preview, highlighting, and compiler errors in VS Code and Cursor
- [Pricing](https://dbtcharts.com/pricing/)
- [Blog](https://dbtcharts.com/blog/): notes on the language, the renderer, and shipping BI as code. Its feed is at [/blog/index.xml](https://dbtcharts.com/blog/index.xml)
- [Sign up](https://dbtcharts.com/accounts/signup/): a dbtCharts.com account, created at the same URL `dct cloud login` opens

## Source

- [dbt-labs/dbt-charts on GitHub](https://github.com/dbt-labs/dbt-charts): the open-source engine and CLI
- [dbt-charts on PyPI](https://pypi.org/project/dbt-charts/)

Machine-readable: GET /v1/resolve?q=dbtcharts.com · GET /v1/domain/dbtcharts.com · this page as Accept: application/json or text/markdown · MCP lookup_domain

Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.

Claim my listing on Agent Web Map for dbtcharts.com:
1. POST https://agentwebmap.com/v1/sites/dbtcharts.com/claims and keep claim_id and claim_secret private.
2. Publish the verification line "AgentWebMap verification: <token>" (token from step 1) in https://dbtcharts.com/llms.txt, or use the DNS, meta-tag or well-known method the response describes. This only verifies the listing; your website and domain remain yours.
3. POST https://agentwebmap.com/v1/sites/dbtcharts.com/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/dbtcharts.com).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

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