What is Cartograph?
Cartograph is an MCP server that exposes a focused set of Cartograph widget workflow tools for AI agents. It provides search, inspect, install, create, validate, check-in, and configuration actions without mirroring the entire CLI, keeping the agent-facing surface compact and task-oriented.
How to use Cartograph?
Install via pip install cartograph-mcp, then configure it as an MCP server in your client (e.g., Claude Desktop, Claude Code, Codex, Gemini CLI, or Cursor) by pointing to the cartograph-mcp command. The server delegates to the underlying cartograph-cli for all operations.
Key features of Cartograph
- Exposes registry widget actions: search, inspect, install, rate
- Manages installed widgets: upgrade, uninstall
- Provides widget status, creation, validation, and check-in tools
- Reads and writes core Cartograph configuration defaults
- Groups tool surface around agent intents rather than CLI mirroring
- Falls back to the full CLI for administrative and recovery operations
Use cases of Cartograph
- Search and inspect reusable widgets before writing new logic
- Install, upgrade, or uninstall widgets within a project
- Create, validate, and check in new widgets with a dry-run pipeline
- Adjust daily workflow defaults like auto-publish, visibility, and governance
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