Pigment

Pigment AI Plugins

Connect your AI assistant to Pigment to query, analyze, and build business planning models.

These plugins bundle the Pigment MCP server with domain-knowledge Skills that teach AI assistants how Pigment works — its proprietary formula language, modeling patterns, dashboard conventions, and performance best practices.

Prerequisites

Enable MCP in your Pigment workspace: Settings > Integrations > MCP. See the Pigment documentation for details.

Installation

Cursor

1. Go to Cursor plugins
2. Import https://github.com/gopigment/ai-plugins as a marketplace
3. Add Pigment plugin to Cursor from the plugins page, or open Cursor and run /add-plugin pigment in a new chat

Claude Code

Desktop App

1. Go to Customize, select Add plugin, then Add marketplace and paste https://github.com/gopigment/ai-plugins
2. Install Pigment plugin

Terminal CLI

/plugin marketplace add gopigment/ai-plugins

/plugin install pigment@pigment

Configuration

After installing, set your MCP server URL. The easiest way is to paste your MCP URL into the agent chat and ask it to update the configuration. You can also edit the .mcp.json file directly.

Your MCP URL can be found in your Pigment workspace under Settings > Integrations > MCP. See the Pigment documentation for detailed instructions.

What's Included

MCP Server

The plugin connects your AI assistant to the Pigment MCP server, which has two modes.

Default mode

Public mode provides read-only tools for exploring and analyzing your Applications. For instance, public tools let you:

• Find Applications, Blocks, and Boards
• Understand Metric structure and dependencies
• Retrieve Metric and List data

To make a Block's data accessible, you need to enable AI data access on it.

<details> <summary>Available tools (14)</summary>

• fetch_list_data
• fetch_metric_data
• get_applications
• get_data_dependency_tree
• get_metric_context
• get_metric_dependencies
• get_organization_info
• get_views
• search_boards
• search_folders
• search_metrics_and_lists
• search_tables
• search_views
• semantic_search