By gopigment
Build and manage Pigment planning models: analyze business data, design dashboards and views, import CSV/Excel data, optimize performance, implement planning cycles, and manage access rights.
Always use this skill when querying, exploring, or analyzing existing data in a Pigment workspace. Covers the analysis workflow, query formulation, data concepts, analysis patterns, ambiguity handling, and result interpretation.
Always use when creating or editing a Board. This skill includes supporting files in this directory - explore as needed.
Always use this skill when creating or editing Views, or needing to pick a View.
Best practices for metric default formatting. Covers: decimals, prefix, suffix, currency ($/€), percent (%), K/M/bp/thousand/million scaling, thousand separator, sign / zero / negative handling, text mode (Text / Rich Text / URL / Image / LocaleDateTime), boolean display (checkbox / button). Load when creating or updating a metric's default format. Use cases: format as, display as, show as percent, in millions, two decimals, no decimals, prefix with $, add currency, as K / M / bp, rich text, checkbox, ratio, url, multiplier.
Always use this skill when creating new lists to import CSV data into, importing CSV files into Pigment, mapping CSV columns to properties, deciding whether to import into dimensions vs transaction lists, configuring cross-application imports, troubleshooting data import issues, or importing excel files. This skill includes supporting files in this directory - explore as needed.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
External network access
Connects to servers outside your machine
External network access
Connects to servers outside your machine
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.
Enable MCP in your Pigment workspace: Settings > Integrations > MCP. See the Pigment documentation for details.
https://github.com/gopigment/ai-plugins as a marketplace/add-plugin pigment in a new chathttps://github.com/gopigment/ai-plugins/plugin marketplace add gopigment/ai-plugins
/plugin install pigment@pigment
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.
The plugin connects your AI assistant to the Pigment MCP server, which has two modes.
Default — read-only tools for data analysis. Only metrics where AI data access is enabled are accessible.
Advanced — write tools for modeling Pigment applications (dimensions, metrics, formulas, calendars, boards, views, and more). Each user can enable it in Settings > Advanced Features > Advanced MCP Tools.
Users connect with their own credentials via OAuth, so their Pigment access rights and permissions apply by design — they can't access or do more than what they can already do in Pigment.
Note: Advanced mode includes a search tool that lets the AI assistant scan and understand your entire application logic — this helps AI provide better answers. Search exposes all Block metadata (e.g. names, data types, dimensions) to users, but no actual data is accessible through it. We recommend not putting any sensitive information in Block metadata as it is not subject to access rights (unlike actual data). If you want to prevent a user from accessing Block metadata, that user must not have access to the application in Pigment.
Skills are domain-knowledge files loaded automatically by Cursor and Claude Code. They provide the context AI assistants need to work effectively with Pigment.
Skills can be set up in two ways:
| Skill | Description |
|---|---|
| Analyzing Data | Query formulation, data discovery, analysis patterns, result interpretation |
| Designing Boards | Board structure, widget sizing, layout rules, page organization |
| Designing Views | View creation, draft/override workflow, pivots, filters, sorting, aggregators |
| Formatting & Highlighting | Metric default formatting — decimals, currency, percent, K/M scaling, text and boolean display |
| Integrating External Data | CSV and Excel import, column mapping, cross-app imports, troubleshooting |
| Modeling Applications | Architecture, dimensions, metrics, tables, calendars, subsets, folders, sparsity |
| Optimizing Performance | Profiling, scoping, sparsity, iterative calculations, troubleshooting, application audit |
| Planning Cycles | Version dimensions, Actual/Budget/Forecast, scenarios, snapshots, switchover |
| Securing Applications | Access rights design, AR metrics, apply rules, debugging visibility |
| Solving Specific Use Cases | FP&A (Nexus, OPEX, FX hub), Workforce Planning patterns, and other domain-specific modeling guidance |
| Writing Formulas | Pigment's proprietary formula language — syntax, modifiers, functions, performance |
Data analysis:
Advanced mode:
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