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As artificial intelligence becomes increasingly embedded across organizations, we’re all using multiple AI assistants and platforms every day — from ChatGPT and Claude to ServiceNow and Agentforce. To ensure these platforms can seamlessly interact with Pigment’s Agents and data, we’re opening our ecosystem through the Pigment MCP Server.
The Model Context Protocol (MCP) is an emerging open standard, developed by Anthropic, that allows AI assistants and agents to connect securely to external tools and data.
Pigment’s MCP server acts as a universal connector, providing a gateway for other platforms to make use of Pigment’s unified enterprise data, business logic and native agents, all governed by enterprise security and role-based access.
So why does this matter?
Essentially, other AI platforms can now talk to Pigment. Business leaders can ask questions like “What’s our revenue by product from the last 6 months?” directly in ChatGPT or Claude and receive answers grounded in their Pigment instance’s live data.
The reason this is so powerful is that Pigment brings together real-time data and planning logic from across the business into one connected platform. Until now, assistants like ChatGPT and Claude have been disconnected from this context. Pigment’s MCP Server changes that, enabling them to:
- Query live Pigment data using natural language
- Use Pigment’s existing business rules, metrics, and modeling context
- Trigger agent missions within Pigment
“ChatGPT is already deployed at scale in the workplace, with more than seven million ChatGPT for Work seats worldwide. By connecting Pigment to ChatGPT using MCP, Pigment is helping extend that value, by bringing 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 at OpenAI
This integration extends Pigment’s vision beyond the application itself — embedding it into the wider AI ecosystem and making every assistant smarter by grounding it in Pigment’s clean, reconciled, and contextual data.
Development of this feature has been guided by two key principles:
- Security and governance remain central
Every assistant connection is authenticated and respects existing role/permission-based access rights, ensuring compliance, security, and flexibility. - Scalability by design
The Pigment MCP Server is built to scale effortlessly, supporting organizations of any size and complexity as AI adoption grows
"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. It's exactly the kind of practical, high-impact application we love to see at Anthropic."
Guillaume Princen, Head of EMEA, Startups, Digital Natives, and Mid Market at Anthropic
We see almost unlimited use cases for this technology within a business planning context:
FP&A
A CFO can get instant answers, within Claude, to questions like: “What’s driving Marketing’s Opex variance this month?”
This gives them greater agency, and reduces the workload for analysts.
Workforce planning
An HRBP asks Claude: “Where do we have the biggest skill gaps?” Claude retrieves Pigment’s live workforce data and produces a tailored report, giving HR teams instant, contextual insights inside their AI assistant.
With this type of low-friction interaction, they’re able to course-correct hiring, flag overspend, and prioritize training all without extra reporting cycles.
SPM
A Sales VP asks their ServiceNow AI assistant: “What’s the forecast gap for Q1 by region?” or “Which territories are under-covered?” The assistant queries Pigment’s models via MCP and returns a narrative forecast summary.
Sales leaders can spot gaps, reallocate resources, and act faster.
Supply Chain
A demand planner asks ChatGPT: “Which SKUs are at stockout risk next week?” It connects to and queries Pigment’s inventory health metrics, then surfaces actionable recommendations.
Instead of firefighting after the fact, supply chain teams get early warnings and proposed actions directly in their AI assistant, cutting delays and reducing risk of lost sales.
What’s next?
The Pigment MCP Server is an important step along the journey to an ‘agentic enterprise’ - where advanced, autonomous agents collaborate across systems.
In the near future, Pigment’s Agents will not only respond to human prompts but also work with other agents — exchanging insights, coordinating actions, and driving planning cycles automatically. By opening our ecosystem up, Pigment becomes the decision layer for enterprise AI — enabling assistants and agents across the business world to think, analyze, and act with Pigment’s structured intelligence at their core.
Learn more about Pigment’s MCP Server and agentic AI capabilities here.
