RegiaBI charts: an MCP server and agent plugin

Chart code that fits your data first try, as source you own: you pay to author it, never to run it.

This repository packages the RegiaBI chart MCP server (com.regiabi/chart-mcp, published on npm as @bicharts/chart-mcp) and its agent skill as a one-command plugin for Claude Code, GitHub Copilot CLI, Codex and Gemini CLI. It holds the plugin manifests, the pinned server command and the skill. The server itself is the npm package.

What it does

Give your coding agent a table (a CSV, a dataframe, or a query result from a semantic model) and it gets back working, interactive chart code that fits that data:

• It profiles your data locally. Row counts, cardinalities, measures versus dimensions, dates, places. No data leaves your machine for this step.

• It ranks about 90 chart types by what the data can honestly show, using a server-side eligibility engine rather than a guess, so a map is only offered when there are places to map and a sankey only when there are flows.

• It returns verified source you own: D3 for JavaScript and TypeScript projects, Plotly or matplotlib for Python. The code has already passed render checks. It needs no license, no account and no connection to us to run, deploy or ship, for any number of viewers.

The tools:

Related MCP server: Viz MCP Server

Install

Claude Code

/plugin marketplace add codexguy/regiabi-plugins
/plugin install regiabi-charts@regiabi

GitHub Copilot CLI

copilot plugin marketplace add codexguy/regiabi-plugins
copilot plugin install regiabi-charts@regiabi

Codex

codex plugin marketplace add codexguy/regiabi-plugins

Then install RegiaBI charts from the Plugins Directory.

Gemini CLI

gemini extensions install https://github.com/codexguy/regiabi-plugins

Any other MCP client

VS Code, Cursor, Claude Desktop and any other MCP client can run the server directly:

{
  "mcpServers": {
    "bic-chart": {
      "command": "npx",
      "args": ["-y", "@bicharts/chart-mcp"]
    }
  }
}

Configure

Nothing, usually. Writing a chart needs a RegiaBI account; running a chart you've already generated needs nothing.

Sign in when it asks. The first time your agent calls a tool that needs an account, the server opens your browser at bizintelligencechampions.com. Sign in, or create a free account (it comes with a free trial), and click Allow. The call your agent made then finishes by itself. The server keeps the sign-in in ~/.bic/oauth.json and renews it on its own, and you can sign a device out at any time from your account page.

Or use a license key (a machine with no browser, CI, a container). Leave sign-in alone and give the server your account's credentials instead, in one of two ways:

• When the plugin asks (Claude Code prompts on install and keeps the key in your system's secure credential store), or as environment variables on the server: BIC_LICENSEE and BIC_LICENSE_KEY, plus BIC_SECRET_KEY if your account uses one.

• A credentials file, so no secret ever sits in a project's committed config. Put this in ~/.bic/credentials.json (or point BIC_CREDENTIALS_FILE at another path):

  { "licensee": "...", "licenseKey": "..." }

A key, when one is set, always wins over a sign-in. Leave the plugin's fields blank to sign in instead.

Use

Ask your agent for the chart you want, in plain words, in the project you want it in. For example:

Assess the shape of ./sales.csv, tell me which charts fit it, then generate the best one into ./charts.

The agent profiles the file, asks the server which chart types fit, and writes the chart's code and data into ./charts, ready to import. The skill this plugin installs walks the agent through the rest: wiring cross-filtering between charts, sizing and theming are the host library's job, so the agent doesn't write them.

Building a Microsoft Fabric App? Scaffold it from Rayfin's data app template, then ask your agent which charts suit your semantic model. suggest_charts answers from the model's own numbers.

What it runs, sends and fetches

• Signing in opens your browser at bizintelligencechampions.com once; the server then keeps an access token and a refresh token in ~/.bic/oauth.json (readable only by you) and sends the access token with each call to the service.

• It runs one local process: npx -y @bicharts/chart-mcp@<version>, the exact version the plugin pins. npm downloads that package from the public npm registry the first time.

• assess_data_shape sends nothing. It profiles your data on your machine.

• list_eligible_charts, suggest_charts and generate_chart call the RegiaBI service at bizintelligencechampions.com with your account's credentials and a profile of your table: column names, types, counts and summary statistics. By default no rows are sent; a privacy_level argument can send less (names only) or more (obfuscated sample rows). suggest_charts queries your semantic model through your Fabric App project's own fabric-app-data CLI, signed in as you, and sends the service the same kind of profile.

• It writes the generated chart code and its data into the folder you ask for, and nowhere else.

• Telemetry: a usage counter per service call (the tool's name, the server's version and a random value), one row when generate_chart hands code over (the call's duration, the row count, the language and the server's build) and one when a generation fails after the service answered. No data and no machine identity. Set BIC_MCP_TELEMETRY=0 in the server's environment to turn it off.

Learn more

• RegiaBI for developers: docs, examples and live demos

• @bicharts/chart-mcp on npm: every tool's parameters and results

• @bicharts/chart-host: the open-source library that runs the charts

• The official MCP Registry listing

Support and terms

• Support

• The server and the service it calls are covered by the RegiaBI Programmatic Access Terms and the privacy policy. The server's own license ships in its npm package.

• The files in this repository (the plugin manifests, the README and the skill) are under the MIT license in LICENSE. They contain no server source.