IBM Planning Analytics is expanding the reach of agentic AI for enterprise planning. MCP server tools, first introduced for Planning Analytics as a Service, are now being extended across the Planning Analytics ecosystem with the release of PAW 3.1.7/2.1.20. With OAuth now available for authentication, customers can securely connect and use IBM Planning Analytics Assistant MCP server tools across IBM Planning Analytics Local, IBM Planning Analytics on Cloud, IBM Planning Analytics Certified Containers, and IBM Planning Analytics as a Service.
This marks an important step in making Planning Analytics data, workflows, and reporting more accessible to AI agents and custom agentic experiences—while preserving the governance, structure, and enterprise-grade controls organizations expect from IBM Planning Analytics.
Why MCP server tools matter
Model Context Protocol, or MCP, provides a standardized way for AI assistants and agents to interact with enterprise systems. Instead of building one-off integrations for every use case, organizations can expose governed tools that agents can discover and call in a consistent way.
For IBM Planning Analytics customers, that means AI agents can do more than answer questions. They can access trusted planning data, help perform analysis, support planning workflows, and contribute to reporting processes using structured tool calls connected directly to the Planning Analytics environment.
By combining IBM Planning Analytics Assistant with MCP server tools, customers can extend Planning Analytics into new agentic use cases while relying on the same trusted planning platform they already use today.
For Planning Analytics as a Service and Beyond
IBM initially introduced MCP server tool support for Planning Analytics as a Service customers earlier this year. That early availability helped demonstrate how Planning Analytics Assistant could power external agents and AI-driven experiences using governed access to TM1 data and capabilities.
Now, with the introduction of OAuth-based authentication, IBM can extend this support across all major Planning Analytics deployment options, including:
- IBM Planning Analytics Local
- IBM Planning Analytics on Cloud
- IBM Planning Analytics Certified Containers
- IBM Planning Analytics as a Service
This broader support gives customers more freedom to adopt agentic AI in the deployment model that fits their enterprise architecture, security requirements, and operational preferences.
Four categories of MCP server tools
IBM is releasing Planning Analytics MCP tools across four major categories, each designed to support a different set of enterprise planning use cases.
1. Modeling Agent MCP tools
Modeling Agent MCP tools are designed to enable agentic modeling of Planning Analytics data. These tools can help accelerate model creation, maintenance, and evolution by allowing agents to interact with planning structures more intelligently. Whether customers are building new models, updating existing objects, or guiding model design through natural language interactions, Modeling Agent tools are intended to reduce manual effort and improve productivity for modelers and administrators.
2. Analysis Agent MCP tools
Analysis Agent MCP tools are focused on the analysis of TM1 data using descriptive, predictive, and prescriptive analytics. These tools help customers move from simply viewing data to understanding what happened, what may happen next, and what actions may be worth considering. This creates opportunities for richer decision support, enabling AI-powered analysis directly on top of trusted Planning Analytics data.
3. Workflow Agent Tools
Workflow Agent Tools are focused on enabling the agentic contribution, review, and approval of Planning Analytics Applications and Plans. These capabilities are especially important for organizations that rely on structured planning cycles and collaborative processes. By exposing workflow-related actions through MCP, customers can bring AI agents into the planning process to help guide users, streamline approvals, and reduce friction in plan submissions and reviews.
4. Reporting Agent Tools
Reporting Agent Tools are focused on creating enterprise-grade reports for consumption across stakeholders. These tools are aimed at helping organizations generate and distribute planning outputs in formats suited for business consumption. This includes supporting reporting processes that serve executives, finance teams, operational leaders, and other stakeholders who depend on timely, accurate planning information.
What this means for customers
The expansion of MCP server support across the Planning Analytics portfolio gives customers more flexibility in how they adopt AI.
Organizations can use IBM Planning Analytics Assistant MCP tools to:
- Build custom agents for planning and decision support
- Connect Planning Analytics to agent frameworks and orchestration platforms
- Bring governed TM1 data into AI-driven workflows
- Extend planning, analysis, workflow, and reporting use cases with agentic capabilities
This also enables a more consistent strategy across deployment environments. Customers no longer need to view agentic AI innovation as limited to a single offering. Instead, they can adopt these capabilities across the Planning Analytics ecosystem in a way that aligns with their infrastructure and modernization plans.
How do I get started?
Our MCP tools are tied to your instance of IBM Planning Analytics. You can use them with any platform that can integrate with our MCP server, whether watsonx Orchestrate or otherwise.
To enable OAuth for authentication you can find more information here.
To access our MCP tools you can follow this guide.
For all Planning Analytics Assistant documentation please go to this link.
Licensing and access requirements
It is important to note that access to Planning Analytics MCP tools is tied to the IBM Planning Analytics Assistant license. Customers and users who want to access the available MCP tools must ensure they have the appropriate Planning Analytics Assistant licensing in place. This is especially important for organizations that plan to use Planning Analytics Assistant MCP tool calls within custom agent use cases, whether those agents are built internally or integrated through third-party platforms.
Enabling the next era of intelligent planning
The expansion of IBM Planning Analytics Assistant MCP server tools reflects a broader shift in enterprise planning: from isolated AI features to connected, agentic systems that can participate in real planning work.
By extending MCP support from Planning Analytics as a Service to Planning Analytics Local, Planning Analytics on Cloud, Planning Analytics Certified Containers, and Planning Analytics as a Service, IBM is giving customers a stronger foundation for building intelligent planning experiences wherever they run Planning Analytics.
With new Modeling, Analysis, Workflow, and Reporting Agent tools, organizations can begin to imagine a future where AI does more than assist—it actively helps move planning forward.
IBM Planning Analytics Assistant is helping make that future practical, governed, and available across the entire Planning Analytics ecosystem