Chartbrew + AI agents. MCP server exposing Chartbrew's documented API: teams, connections, datasets, dashboards, charts, live queries, and secure embedding. TypeScript · stdio · restricted/unrestricte
The Chartbrew MCP server exposes Chartbrew's documented API to AI coding agents and MCP-compatible clients — letting them list and inspect teams, connections, datasets, dashboards, and charts, run live queries, fetch data, manage share policies/tokens for secure embedding, and create or update resources, all through natural language.
TypeScript MCP server built on the official MCP SDK for documented Chartbrew API endpoints.
Chartbrew MCP in action — managing analytics resources through natural language.
- Node.js and npm installed (used to install dependencies and build the server). - A Chartbrew API key — create one in your Chartbrew account (cloud or self-hosted). See How to create API keys in Chartbrew. - For a self-hosted Chartbrew instance, the API base URL of that instance (default http://localhost:4019). - An MCP-compatible client to host the server (e.g. Claude Code, Claude Desktop, Cursor, VS Code, Codex, GitHub Copilot, OpenCode, Kimi Code).
This server only implements operations documented in the official Chartbrew API reference and avoids undocumented behavior.
- Teams: list, get - Connections: list, get, test, create, update, delete - Datasets: list, get, fetch data, create, update, delete - Data Requests: list, run - Dashboards (projects): list, get, create, update, delete - Charts: get, create, query, delete
- Variable binding create/update endpoints
Chartbrew API docs specify Bearer token authentication.
From the project README.
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