Model Context Protocol (MCP) tools in Planning Analytics

Overview

Model Context Protocol (MCP) tools provide structured, callable capabilities that allow external agents and AI-enabled services to interact with Planning Analytics systems. These tools are designed for use in agentic workflows, such as Planning Analytics AI assistant and other MCP-enabled integrations.

These tools focus on providing intent-level capabilities rather than implementation-level APIs. Agents use natural-language requests or structured calls to invoke MCP tools, and these tools return results that agents use to reason about data, metadata, and analytical outcomes.

Scope and purpose

MCP tools are intended to support exploration, analysis, and interpretation of Planning Analytics models. These tools support agentic workflows by enabling agents to perform the following functions:

• Discover available Planning Analytics resources.
• Inspect cube structures and metadata.
• Retrieve data and analytical results.
• Generate context-aware insights and summaries.

These tools are designed for technical audiences and integrations that require programmatic or agent-driven access to Planning Analytics capabilities.

Relationship to agentic workflows

MCP tools do not operate independently. Agents invoke these tools to interpret user intent, identify relevant tools, and assemble responses based on tool outputs.

The agent or consuming service selects and orchestrates the tools, while Planning Analytics provides the tools themselves. Agents determine how and when to use them.

Tool families

Planning Analytics organizes MCP tools into functional groupings based on the capabilities that they provide.