Blueprint Chart

Charts your AI writes for you.

Community: Submitted by a user or imported; check the owner before granting accessOnlineNo sign-inGlobalFreeCan modify data

What it can do

  • Validate Dsl: Parse and semantically validate a .bpc source. Returns { valid, errors[], warnings[] }. Errors include unknown chart types, unknown properties, and empty data blocks with nearest-neighbo
  • Inspect Dsl: Parse a .bpc source and return a structured summary: chartType, scenes, data (rowCount, entryCount, labels, seriesNames, multiSeries), annotation/colorize/highlight/area-fill presence fla
  • Recommend Chart Type: Start here before writing any .bpc. Takes column types, row count, and the user's goal (a prose sentence — it determines the chart family: comparison/ranking/part-to-whole/compos

What data it sees

Do you need an account

No: the server works without sign-in

Charts your AI writes for you. Describe the data and your assistant authors Blueprint Chart's plain-text format, validates it, and renders an interactive, accessible chart. No backend, no account, no API key.

How to connect

How to connect Blueprint Chart to Claude

The server address to paste into Claude settings:

https://blueprint-chart.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Blueprint Chart to ChatGPT

The server address to paste into ChatGPT settings:

https://blueprint-chart.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Blueprint Chart to Cursor

The server address to paste into Cursor settings:

https://blueprint-chart.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (11)

Raw names from tools/list. Only developers need these.

validate_dslParse and semantically validate a .bpc source. Returns { valid, errors[], warnings[] }. Errors include unknown chart types, unknown properties, and empty data blocks with nearest-neighbour suggestions.
inspect_dslParse a .bpc source and return a structured summary: chartType, scenes, data (rowCount, entryCount, labels, seriesNames, multiSeries), annotation/colorize/highlight/area-fill presence flags, series count.
recommend_chart_typeStart here before writing any .bpc. Takes column types, row count, and the user's goal (a prose sentence — it determines the chart family: comparison/ranking/part-to-whole/composition-over-time/trend/range). Returns ranked chart-type recommendations plus guidance.
renderRender a .bpc source to SVG (default), PNG, or HTML. With format:"png" the chart comes back as an inline IMAGE you and the user can both see — render, look at the result, fix issues, re-render. Always returns structured frame metadata. When MCP_PUBLIC_URL is set the response includes stateless `urls` ({png,svg,bpc}). Set modelVisible:false to display the image to the user without spending model image tokens. Pass `save:<path>` to write the output into MCP_FS_WRITE_DIR instead of returning it inline. Width/height are capped at 1600; PNGs are rasterized at 2× for retina sharpness.
list_chart_typesReference list of every chart type the renderer supports, with aliases and one-line summaries. To choose a type for a dataset, call recommend_chart_type instead.
describe_chart_typeReturn everything an LLM needs to write a .bpc for a given chart type — typically your second call, after recommend_chart_type. Input: { chartType: "bar-horizontal" } (or any canonical/alias name). Returns summary, when-to-use, when-NOT-to-use, full property list with enum choices, data-shape example, and a pointer to a canonical sample.
get_exampleReturn a canonical .bpc example. Pass { name } for a specific sample id, { chartType } for the first sample of that type, or no args for a starter sample.
search_examplesFind canonical .bpc examples by topic keywords and/or chart type. Returns ranked pointers { id, title, description, chartType } — call get_example with an id to fetch the full DSL.
list_palettesList every named colour palette with its label and hex colours, for use in `colorPalette = "<name>"`.
get_grammarReturn the .bpc DSL grammar as markdown. Pass { section: "chart" | "data" | "properties" | "scenes" | "annotations" } for a focused subset, or no args for the full grammar.
export_chartTurn a validated .bpc source into shareable URLs plus an inline visual preview of what was published. Returns { copyUrl, embedUrl, urls?, frame } and a scene-0 PNG image block so you can confirm the chart looks right before sharing. copyUrl opens an editable copy in the editor; embedUrl is a read-only iframe target; urls.{png,svg,bpc} (when MCP_PUBLIC_URL is set) are stateless rendered-image/source links. Set modelVisible:false to show the preview to the user only. Requires BLUEPRINT_CHART_EDITOR_URL; preview failures never block the export.