PIGMENT MCP Server

Connect Pigment’s live data, models, and logic to any AI system, bringing business context and accuracy to every interaction.

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“By connecting Pigment to ChatGPT using MCP, Pigment brings the live data and planning logic teams already rely on in Pigment directly into the conversation. With this new connector, users can unlock a richer, more contextual experience, and make a meaningful step towards a more connected, intelligent enterprise.”

Romain Huet

Head of Developer Experience

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Securely connect your AI ecosystem to enterprise business data

With Pigment MCP Server, AI systems can access governed business data, logic, and models from Pigment.

Bring business context to any AI platform

The Pigment MCP Server brings the power of Pigment’s unified data and logic to every AI assistant your teams already use.

With governed access to live metrics, hierarchies, and models - all while respecting permissions - AI assistants like ChatGPT or Claude can deliver accurate, contextual answers grounded in your business truth.

Connect your AI ecosystem through one gateway

Instead of building and maintaining separate integrations for each platform, the Pigment MCP Server acts as a universal gateway, one secure endpoint for all AI assistants and agents.

It provides consistency, accuracy, and governance across your entire agentic ecosystem, giving external AI systems governed access to real-time data, models, business logic and Pigment’s own Agents.

Accurate and explainable by design

Every response your AI produces is backed by Pigment’s business logic, live data, and audit trails.

The MCP Server ensures that assistants reason on governed, reconciled information so explanations are transparent, assumptions traceable, and outcomes fully explainable.

Secure access and centralized control

Built for enterprise governance, the MCP Server authenticates every session through enterprise identity and scopes access by role, model, or metric.

Admins can approve which assistants connect, define what they can access and monitor every query.

That means total visibility, compliance, and control without slowing innovation.

“Pigment is showing what's possible when AI becomes a partner in strategic planning. As both a technology partner and a Pigment customer, we're seeing firsthand how their approach of connecting planning data directly to Claude through their MCP Server lets teams focus on strategic decisions rather than data wrangling.”

Guillaume Princen

Head of EMEA, Startups, Digital Natives, and Mid Market, Anthropic

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Your AI ecosystem

With this secure foundation that connects AI platforms, deliver the business context your agents need to be effective without constantly uploading sensitive files to various AI tools.

Frequently Asked Questions

What is MCP?

Model Context Protocol is an open standard developed by Anthropic that allows AI systems to securely connect with data sources and business tools. It helps AI assistants like ChatGPT or Claude retrieve information from trusted platforms while respecting governance and permissions.

What is Pigment MCP?

The Pigment MCP Server connects Pigment’s live business data, models, logic and agents to external AI platforms through the MCP standard. It acts as a secure bridge, bringing context from Pigment into any AI experience, so responses stay accurate, governed, and relevant to your business.

How does Pigment MCP ensure security?

Every connection is authenticated and permission-based. Users sign in with their Pigment credentials, and existing access rights are enforced automatically. AI systems can only view what users are already allowed to access in Pigment.

What can I do with Pigment MCP?

You can connect AI assistants like ChatGPT or Claude directly to Pigment to ask questions, pull metrics, or generate insights, all using natural language. This allows teams to explore Pigment data securely from within the AI tools they already use.

Why does the MCP Server matter?

It ensures every AI interaction is grounded in your company’s trusted business data and logic not isolated or outdated information. The result is accurate, explainable insights across all AI tools, with governance built in.