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By gopigment
Analyze business data, build planning models, and manage design assets directly within Pigment workspaces, including querying metrics, importing CSV/Excel data, creating Views and Boards, writing formulas, and configuring access rights and planning lifecycles.
npx claudepluginhub gopigment/ai-plugins --plugin pigmentAlways 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 this skill when creating or editing Views, or needing to pick a View.
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 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.
Always use this skill when designing or modifying Pigment applications. Provides the mental model of a Pigment app (Application, Dimensions, Calendars, Metrics, Transaction Lists, Tables), the core concepts (dimension list vs property vs transaction list, metric vs table, sparsity, scope), the canonical order of architecture decisions, a minimal viable application pattern and pointers to deeper-dive docs (architecture, naming, hierarchies, calendars, principles, folders, subsets, performance).
External network access
Connects to servers outside your machine
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MCP Server for Metabase - 111 tools for SQL generation, dashboard management, and PostgreSQL integration
Connect to Looker and interact with your data using LookML.
Skills and tools powered by the Honeydew MCP that help coding agents query data and build semantic models
Write SQL, explore datasets, and generate insights faster. Build visualizations and dashboards, and turn raw data into clear stories for stakeholders.
The most comprehensive SAP Datasphere plugin for Claude. 18 specialized skills covering exploration, data modeling, integration, BW Bridge migration, security architecture, CLI automation, business content activation, catalog governance, performance optimization, and troubleshooting — all through natural language. Powered by 45 MCP tools with enterprise-grade security.
Data & analytics skills: Metrics Framework, SQL Query Explainer, Dashboard Brief. Build North Star metric trees, explain and optimise SQL, and spec dashboards from business questions.
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.
| Skill | Description |
|---|---|
| Analyzing Data | Query formulation, data discovery, analysis patterns, result interpretation |
| Modeling Applications | Architecture, dimensions, metrics, tables, calendars, subsets, access rights |
| 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 |
| Optimizing Performance | Profiling, scoping, sparsity, iterative calculations, troubleshooting |
| Designing Boards | Board structure, widget sizing, layout rules, page organization |
| Creating Views | View creation, draft/override workflow, pivots, filters, sorting |
| Integrating Data | Data import, CSV mapping, cross-app imports, troubleshooting |
| Agent Capabilities | What the AI can and cannot do, behavioral protocols, handoff guidance |
Data analysis:
Advanced mode:
If you run into any issues, contact us at Pigment Support.